commit 00af1f959f24b6f572478bf77c36e4fb46748562 Author: caoyuchun <335003032@qq.com> Date: Tue Jan 13 09:59:40 2026 +0800 first commit diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..6e7e0a9 --- /dev/null +++ b/.gitignore @@ -0,0 +1,98 @@ +# Dependencies +node_modules/ +.pnp +.pnp.js +.yarn/cache +.yarn/unplugged +.yarn/build-state.yml +.yarn/install-state.gz + +# Testing +coverage/ +*.lcov +.nyc_output + +# Production +dist/ +build/ +*.tsbuildinfo + +# Environment variables +.env +.env.local +.env.development.local +.env.test.local +.env.production.local +.env*.local + +# Logs +logs/ +*.log +npm-debug.log* +yarn-debug.log* +yarn-error.log* +pnpm-debug.log* +lerna-debug.log* + +# Editor directories and files +.vscode/ +.idea/ +*.swp +*.swo +*~ +.DS_Store +*.sublime-project +*.sublime-workspace + +# OS files +.DS_Store +.DS_Store? +._* +.Spotlight-V100 +.Trashes +ehthumbs.db +Thumbs.db +Desktop.ini + +# Database +*.db +*.db-journal +*.sqlite +*.sqlite3 + +# Prisma +# Keep migrations but ignore generated client and database +backend/prisma/dev.db +backend/prisma/dev.db-journal +# Note: migrations/ directory should be committed + +# Vite +frontend/.vite/ +frontend/dist/ +frontend/node_modules/.vite/ + +# TypeScript +*.tsbuildinfo + +# Temporary files +*.tmp +*.temp +.cache/ + +# Build outputs +dist/ +build/ +*.min.js +*.min.css +# Source maps (keep for debugging, but ignore in node_modules) +node_modules/**/*.map + +# Package manager locks (optional - uncomment if you want to ignore) +# package-lock.json +# yarn.lock +# pnpm-lock.yaml + +# Misc +*.pid +*.seed +*.pid.lock diff --git a/DEBUG.md b/DEBUG.md new file mode 100644 index 0000000..186f05d --- /dev/null +++ b/DEBUG.md @@ -0,0 +1,71 @@ +# 前端调试指南 + +## 问题:前端页面无内容展示 + +### 检查步骤 + +1. **检查浏览器控制台** + - 打开开发者工具 (F12) + - 查看 Console 标签页是否有错误信息 + - 查看 Network 标签页,检查 API 请求是否成功 + +2. **检查后端是否运行** + ```bash + curl http://localhost:3001/api/health + ``` + 应该返回:`{"status":"ok","message":"AI Learning Platform API"}` + +3. **检查 API 连接** + ```bash + curl http://localhost:3001/api/courses + ``` + 应该返回课程列表的 JSON 数据 + +4. **检查前端是否运行** + - 访问 http://localhost:3000 + - 应该能看到页面内容 + +### 常见问题 + +#### 1. API 请求失败 +- **症状**:控制台显示网络错误或 CORS 错误 +- **解决**:确保后端在 3001 端口运行,且 CORS 已配置 + +#### 2. 数据加载失败 +- **症状**:页面显示"加载中..."但一直不结束 +- **解决**:检查浏览器控制台的错误信息,查看 API 响应 + +#### 3. 样式未加载 +- **症状**:页面有内容但样式错乱 +- **解决**:确保 Tailwind CSS 已正确配置和编译 + +#### 4. 路由问题 +- **症状**:页面空白或 404 +- **解决**:检查 URL 路径是否正确,确保使用 React Router + +### 调试工具 + +已添加的调试功能: +- API 请求/响应日志(在浏览器控制台) +- 错误边界组件(捕获 React 错误) +- 详细的错误提示 + +### 手动测试 API + +```bash +# 测试健康检查 +curl http://localhost:3001/api/health + +# 测试获取课程 +curl http://localhost:3001/api/courses + +# 测试获取特定课程 +curl http://localhost:3001/api/courses/{courseId} +``` + +### 如果仍然无法解决 + +1. 清除浏览器缓存 +2. 重启开发服务器 +3. 检查 Node.js 版本(需要 16+) +4. 查看完整的错误堆栈信息 diff --git a/README.md b/README.md new file mode 100644 index 0000000..be93c2c --- /dev/null +++ b/README.md @@ -0,0 +1,157 @@ +# AI学习平台 + +面向开发者的AI知识学习平台,提供结构化的课程内容和智能学习路径推荐。 + +## 功能特性 + +- 📚 **结构化课程**:精心设计的课程体系,涵盖机器学习、深度学习、NLP、LLM、AI工具等 +- 🎯 **个性化路径**:基于兴趣和水平智能推荐学习路径 +- 📊 **进度跟踪**:实时记录学习进度 +- 💻 **现代化UI**:使用React + Tailwind CSS构建美观界面 +- 📝 **Markdown支持**:课程内容支持Markdown格式,代码高亮 + +## 技术栈 + +### 前端 +- React 18 + TypeScript +- Vite +- Tailwind CSS +- React Router +- React Markdown + +### 后端 +- Node.js + Express + TypeScript +- Prisma ORM +- SQLite数据库 + +## 快速开始 + +### 1. 安装依赖 + +```bash +npm install +npm run install:all +``` + +### 2. 初始化数据库 + +**方式一:使用自动化脚本(推荐)** + +```bash +cd backend +npm run setup:db +``` + +**方式二:手动执行** + +```bash +cd backend +npm run prisma:generate # 生成Prisma Client +npm run prisma:migrate # 创建数据库和表结构 +npm run prisma:seed # 填充初始课程数据 +``` + +数据库文件将创建在 `backend/prisma/dev.db` + +### 3. 启动开发服务器 + +在项目根目录运行: + +```bash +npm run dev +``` + +这将同时启动: +- 前端开发服务器:http://localhost:3000 +- 后端API服务器:http://localhost:3001 + +### 单独启动 + +```bash +# 启动前端 +npm run dev:frontend + +# 启动后端 +npm run dev:backend +``` + +## 项目结构 + +``` +ai-learning-platform/ +├── frontend/ # React前端应用 +│ ├── src/ +│ │ ├── components/ # 可复用组件 +│ │ ├── pages/ # 页面组件 +│ │ ├── services/ # API服务 +│ │ └── ... +│ └── package.json +├── backend/ # Express后端 +│ ├── src/ +│ │ ├── routes/ # API路由 +│ │ ├── controllers/# 控制器 +│ │ ├── services/ # 业务逻辑 +│ │ └── ... +│ ├── prisma/ # 数据库Schema和Seed +│ └── package.json +├── shared/ # 共享TypeScript类型 +└── package.json # 根package.json +``` + +## API端点 + +### 课程相关 +- `GET /api/courses` - 获取课程列表 +- `GET /api/courses/:id` - 获取课程详情 +- `GET /api/courses/:id/chapters` - 获取章节列表 +- `GET /api/chapters/:id` - 获取章节内容 + +### 学习路径相关 +- `GET /api/paths` - 获取所有学习路径 +- `POST /api/paths/generate` - 生成个性化路径 +- `GET /api/paths/:id` - 获取路径详情 + +### 进度相关 +- `GET /api/progress` - 获取用户进度 +- `POST /api/progress` - 更新学习进度 + +## 课程分类 + +- **机器学习基础** (ML_BASICS) +- **深度学习** (DEEP_LEARNING) +- **自然语言处理** (NLP) +- **大语言模型** (LLM) +- **AI工具** (AI_TOOLS) + +## 开发说明 + +### 数据库迁移 + +```bash +cd backend +npm run prisma:migrate +``` + +### 重新生成Prisma Client + +```bash +cd backend +npm run prisma:generate +``` + +### 重新初始化数据 + +```bash +cd backend +npm run prisma:seed +``` + +## 构建生产版本 + +```bash +npm run build +``` + +## 许可证 + +MIT diff --git a/backend/package.json b/backend/package.json new file mode 100644 index 0000000..03cb3ee --- /dev/null +++ b/backend/package.json @@ -0,0 +1,28 @@ +{ + "name": "@ai-learning/backend", + "version": "1.0.0", + "type": "module", + "scripts": { + "dev": "tsx watch src/index.ts", + "build": "tsc", + "start": "node dist/index.js", + "prisma:generate": "prisma generate", + "prisma:migrate": "prisma migrate dev", + "prisma:seed": "tsx prisma/seed.ts", + "setup:db": "node scripts/setup-db.js" + }, + "dependencies": { + "@ai-learning/shared": "*", + "@prisma/client": "^5.7.1", + "cors": "^2.8.5", + "express": "^4.18.2" + }, + "devDependencies": { + "@types/cors": "^2.8.17", + "@types/express": "^4.17.21", + "@types/node": "^20.10.6", + "prisma": "^5.7.1", + "tsx": "^4.7.1", + "typescript": "^5.3.3" + } +} diff --git a/backend/prisma/migrations/.gitkeep b/backend/prisma/migrations/.gitkeep new file mode 100644 index 0000000..e69de29 diff --git a/backend/prisma/migrations/20260110052756_init/migration.sql b/backend/prisma/migrations/20260110052756_init/migration.sql new file mode 100644 index 0000000..d5560d7 --- /dev/null +++ b/backend/prisma/migrations/20260110052756_init/migration.sql @@ -0,0 +1,63 @@ +-- CreateTable +CREATE TABLE "Course" ( + "id" TEXT NOT NULL PRIMARY KEY, + "title" TEXT NOT NULL, + "description" TEXT NOT NULL, + "category" TEXT NOT NULL, + "difficulty" TEXT NOT NULL, + "estimatedHours" INTEGER NOT NULL, + "createdAt" DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP, + "updatedAt" DATETIME NOT NULL +); + +-- CreateTable +CREATE TABLE "Chapter" ( + "id" TEXT NOT NULL PRIMARY KEY, + "courseId" TEXT NOT NULL, + "title" TEXT NOT NULL, + "order" INTEGER NOT NULL, + "content" TEXT NOT NULL, + "createdAt" DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP, + "updatedAt" DATETIME NOT NULL, + CONSTRAINT "Chapter_courseId_fkey" FOREIGN KEY ("courseId") REFERENCES "Course" ("id") ON DELETE CASCADE ON UPDATE CASCADE +); + +-- CreateTable +CREATE TABLE "LearningPath" ( + "id" TEXT NOT NULL PRIMARY KEY, + "name" TEXT NOT NULL, + "description" TEXT NOT NULL, + "targetAudience" TEXT NOT NULL, + "createdAt" DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP, + "updatedAt" DATETIME NOT NULL +); + +-- CreateTable +CREATE TABLE "PathItem" ( + "id" TEXT NOT NULL PRIMARY KEY, + "pathId" TEXT NOT NULL, + "courseId" TEXT NOT NULL, + "chapterId" TEXT, + "order" INTEGER NOT NULL, + "type" TEXT NOT NULL, + "createdAt" DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP, + "updatedAt" DATETIME NOT NULL, + CONSTRAINT "PathItem_pathId_fkey" FOREIGN KEY ("pathId") REFERENCES "LearningPath" ("id") ON DELETE CASCADE ON UPDATE CASCADE, + CONSTRAINT "PathItem_courseId_fkey" FOREIGN KEY ("courseId") REFERENCES "Course" ("id") ON DELETE CASCADE ON UPDATE CASCADE, + CONSTRAINT "PathItem_chapterId_fkey" FOREIGN KEY ("chapterId") REFERENCES "Chapter" ("id") ON DELETE CASCADE ON UPDATE CASCADE +); + +-- CreateTable +CREATE TABLE "UserProgress" ( + "id" TEXT NOT NULL PRIMARY KEY, + "userId" TEXT NOT NULL DEFAULT 'default', + "courseId" TEXT NOT NULL, + "chapterId" TEXT, + "completed" BOOLEAN NOT NULL DEFAULT false, + "lastAccessed" DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP, + "createdAt" DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP, + "updatedAt" DATETIME NOT NULL +); + +-- CreateIndex +CREATE UNIQUE INDEX "UserProgress_userId_courseId_chapterId_key" ON "UserProgress"("userId", "courseId", "chapterId"); diff --git a/backend/prisma/migrations/migration_lock.toml b/backend/prisma/migrations/migration_lock.toml new file mode 100644 index 0000000..e5e5c47 --- /dev/null +++ b/backend/prisma/migrations/migration_lock.toml @@ -0,0 +1,3 @@ +# Please do not edit this file manually +# It should be added in your version-control system (i.e. Git) +provider = "sqlite" \ No newline at end of file diff --git a/backend/prisma/schema.prisma b/backend/prisma/schema.prisma new file mode 100644 index 0000000..8d789c7 --- /dev/null +++ b/backend/prisma/schema.prisma @@ -0,0 +1,73 @@ +// This is your Prisma schema file, +// learn more about it in the docs: https://pris.ly/d/prisma-schema + +generator client { + provider = "prisma-client-js" +} + +datasource db { + provider = "sqlite" + url = "file:./dev.db" +} + +model Course { + id String @id @default(uuid()) + title String + description String + category String // ML_BASICS, DEEP_LEARNING, NLP, LLM, AI_TOOLS + difficulty String // BEGINNER, INTERMEDIATE, ADVANCED + estimatedHours Int + createdAt DateTime @default(now()) + updatedAt DateTime @updatedAt + chapters Chapter[] + pathItems PathItem[] +} + +model Chapter { + id String @id @default(uuid()) + courseId String + title String + order Int + content String // Markdown content + createdAt DateTime @default(now()) + updatedAt DateTime @updatedAt + course Course @relation(fields: [courseId], references: [id], onDelete: Cascade) + pathItems PathItem[] +} + +model LearningPath { + id String @id @default(uuid()) + name String + description String + targetAudience String + createdAt DateTime @default(now()) + updatedAt DateTime @updatedAt + pathItems PathItem[] +} + +model PathItem { + id String @id @default(uuid()) + pathId String + courseId String + chapterId String? + order Int + type String // 'course' or 'chapter' + createdAt DateTime @default(now()) + updatedAt DateTime @updatedAt + path LearningPath @relation(fields: [pathId], references: [id], onDelete: Cascade) + course Course @relation(fields: [courseId], references: [id], onDelete: Cascade) + chapter Chapter? @relation(fields: [chapterId], references: [id], onDelete: Cascade) +} + +model UserProgress { + id String @id @default(uuid()) + userId String @default("default") // MVP阶段使用默认用户 + courseId String + chapterId String? + completed Boolean @default(false) + lastAccessed DateTime @default(now()) + createdAt DateTime @default(now()) + updatedAt DateTime @updatedAt + + @@unique([userId, courseId, chapterId]) +} diff --git a/backend/prisma/seed.ts b/backend/prisma/seed.ts new file mode 100644 index 0000000..00996c4 --- /dev/null +++ b/backend/prisma/seed.ts @@ -0,0 +1,814 @@ +import { PrismaClient } from '@prisma/client'; + +const prisma = new PrismaClient(); + +async function main() { + console.log('开始初始化数据库...'); + + // 清理现有数据 + await prisma.pathItem.deleteMany(); + await prisma.learningPath.deleteMany(); + await prisma.userProgress.deleteMany(); + await prisma.chapter.deleteMany(); + await prisma.course.deleteMany(); + + // 创建机器学习基础课程 + const mlBasics1 = await prisma.course.create({ + data: { + title: '线性回归', + description: '学习线性回归的基本原理和实现方法,包括最小二乘法、梯度下降等核心概念。', + category: 'ML_BASICS', + difficulty: 'BEGINNER', + estimatedHours: 3, + chapters: { + create: [ + { + title: '什么是线性回归', + order: 1, + content: `# 什么是线性回归 + +线性回归是机器学习中最基础的算法之一,用于预测连续值。 + +## 基本概念 + +线性回归试图找到一条直线(或超平面),使得所有数据点到这条直线的距离之和最小。 + +### 数学表示 + +对于简单线性回归(一个特征),模型可以表示为: + +\\\`\\\`\\\`python +y = wx + b +\\\`\\\`\\\` + +其中: +- \`y\` 是预测值(目标变量) +- \`x\` 是输入特征 +- \`w\` 是权重(斜率) +- \`b\` 是偏置(截距) + +### 应用场景 + +- 房价预测 +- 销售额预测 +- 温度预测 +- 任何需要预测连续值的场景 + +## 下一步 + +在下一章中,我们将学习如何使用最小二乘法来求解线性回归的参数。`, + }, + { + title: '最小二乘法', + order: 2, + content: `# 最小二乘法 + +最小二乘法是求解线性回归参数的标准方法。 + +## 原理 + +最小二乘法的目标是找到参数 \`w\` 和 \`b\`,使得预测值与真实值之间的平方误差最小: + +\\\`\\\`\\\`python +损失函数 = Σ(y_i - (wx_i + b))² +\\\`\\\`\\\` + +## 求解方法 + +### 1. 解析解(闭式解) + +对于简单线性回归,可以直接计算: + +\\\`\\\`\\\`python +w = Σ(x_i - x̄)(y_i - ȳ) / Σ(x_i - x̄)² +b = ȳ - w * x̄ +\\\`\\\`\\\` + +### 2. 矩阵形式 + +对于多元线性回归,可以使用矩阵运算: + +\\\`\\\`\\\`python +θ = (X^T * X)^(-1) * X^T * y +\\\`\\\`\\\` + +## 代码示例 + +\\\`\\\`\\\`python +import numpy as np + +def linear_regression(X, y): + # 添加偏置项 + X = np.column_stack([np.ones(len(X)), X]) + + # 计算参数 + theta = np.linalg.inv(X.T @ X) @ X.T @ y + + return theta +\\\`\\\`\\\` + +## 总结 + +最小二乘法提供了线性回归的精确解,但在大数据集上计算成本较高。下一章我们将学习更高效的梯度下降方法。`, + }, + { + title: '梯度下降', + order: 3, + content: `# 梯度下降 + +梯度下降是一种优化算法,用于找到损失函数的最小值。 + +## 基本思想 + +梯度下降通过迭代更新参数,沿着损失函数梯度的反方向移动,逐步接近最优解。 + +## 算法步骤 + +1. 初始化参数 \`w\` 和 \`b\` +2. 计算损失函数的梯度 +3. 更新参数:\`θ = θ - α * ∇θ\` +4. 重复步骤2-3直到收敛 + +其中 \`α\` 是学习率。 + +## 代码实现 + +\\\`\\\`\\\`python +import numpy as np + +def gradient_descent(X, y, learning_rate=0.01, iterations=1000): + m = len(y) + theta = np.zeros(X.shape[1]) + + for i in range(iterations): + # 计算预测值 + predictions = X @ theta + + # 计算梯度 + gradient = (1/m) * X.T @ (predictions - y) + + # 更新参数 + theta = theta - learning_rate * gradient + + # 可选:打印损失 + if i % 100 == 0: + loss = np.mean((predictions - y) ** 2) + print(f'Iteration {i}, Loss: {loss}') + + return theta +\\\`\\\`\\\` + +## 学习率选择 + +- 学习率太小:收敛慢 +- 学习率太大:可能无法收敛或震荡 +- 建议:从0.01开始,根据实际情况调整 + +## 总结 + +梯度下降是深度学习的核心优化算法,理解它对于后续学习非常重要。`, + }, + ], + }, + }, + }); + + const mlBasics2 = await prisma.course.create({ + data: { + title: '逻辑回归', + description: '学习逻辑回归用于分类问题的原理和应用,包括sigmoid函数、损失函数等。', + category: 'ML_BASICS', + difficulty: 'BEGINNER', + estimatedHours: 4, + chapters: { + create: [ + { + title: '分类问题', + order: 1, + content: `# 分类问题 + +逻辑回归是用于解决分类问题的算法。 + +## 分类 vs 回归 + +- **回归**:预测连续值(如房价、温度) +- **分类**:预测离散类别(如垃圾邮件/正常邮件、猫/狗) + +## 二分类问题 + +逻辑回归主要用于二分类问题,输出是0或1。 + +### 示例场景 + +- 邮件分类:垃圾邮件(1)或正常邮件(0) +- 疾病诊断:患病(1)或健康(0) +- 客户流失:流失(1)或保留(0) + +## 为什么不能用线性回归? + +线性回归的输出可以是任意实数,不适合分类问题。我们需要将输出映射到[0,1]区间。 + +## 下一步 + +下一章我们将学习sigmoid函数,它是逻辑回归的核心。`, + }, + { + title: 'Sigmoid函数', + order: 2, + content: `# Sigmoid函数 + +Sigmoid函数将任意实数映射到(0,1)区间,非常适合二分类问题。 + +## 函数定义 + +\\\`\\\`\\\`python +σ(z) = 1 / (1 + e^(-z)) +\\\`\\\`\\\` + +## 特性 + +- 输出范围:(0, 1) +- 单调递增 +- S型曲线 +- 当z=0时,σ(z)=0.5 + +## 代码实现 + +\\\`\\\`\\\`python +import numpy as np +import matplotlib.pyplot as plt + +def sigmoid(z): + return 1 / (1 + np.exp(-z)) + +# 示例 +z = np.linspace(-10, 10, 100) +y = sigmoid(z) + +plt.plot(z, y) +plt.xlabel('z') +plt.ylabel('σ(z)') +plt.title('Sigmoid Function') +plt.grid(True) +plt.show() +\\\`\\\`\\\` + +## 在逻辑回归中的应用 + +逻辑回归模型: + +\\\`\\\`\\\`python +h(x) = σ(wx + b) = 1 / (1 + e^(-(wx + b))) +\\\`\\\`\\\` + +输出可以解释为概率:P(y=1|x) + +## 总结 + +Sigmoid函数是逻辑回归的基础,理解它对于掌握分类算法至关重要。`, + }, + ], + }, + }, + }); + + // 创建深度学习课程 + const dl1 = await prisma.course.create({ + data: { + title: '神经网络基础', + description: '从感知机到多层神经网络,学习神经网络的基本原理和结构。', + category: 'DEEP_LEARNING', + difficulty: 'INTERMEDIATE', + estimatedHours: 5, + chapters: { + create: [ + { + title: '感知机', + order: 1, + content: `# 感知机 + +感知机是神经网络的基础,是最简单的神经网络模型。 + +## 什么是感知机 + +感知机是一个二分类的线性分类模型,由输入层和输出层组成。 + +## 结构 + +\\\`\\\`\\\`python +输入 → 权重 → 求和 → 激活函数 → 输出 +\\\`\\\`\\\` + +## 数学表示 + +\\\`\\\`\\\`python +y = f(Σ(w_i * x_i) + b) +\\\`\\\`\\\` + +其中f是激活函数(如阶跃函数)。 + +## 局限性 + +单层感知机只能解决线性可分问题,无法处理XOR等非线性问题。 + +## 下一步 + +多层感知机(MLP)可以解决非线性问题,我们将在下一章学习。`, + }, + { + title: '多层神经网络', + order: 2, + content: `# 多层神经网络 + +多层神经网络(MLP)通过增加隐藏层来解决非线性问题。 + +## 网络结构 + +- **输入层**:接收特征 +- **隐藏层**:一个或多个,进行特征变换 +- **输出层**:产生最终预测 + +## 前向传播 + +\\\`\\\`\\\`python +# 第一层 +z1 = W1 @ x + b1 +a1 = activation(z1) + +# 第二层 +z2 = W2 @ a1 + b2 +a2 = activation(z2) + +# 输出层 +output = softmax(z2) # 对于多分类 +\\\`\\\`\\\` + +## 激活函数 + +常用的激活函数: +- ReLU: \`f(x) = max(0, x)\` +- Sigmoid: \`f(x) = 1/(1+e^(-x))\` +- Tanh: \`f(x) = tanh(x)\` + +## 为什么需要激活函数? + +没有激活函数,多层网络等价于单层网络。激活函数引入非线性,使网络能够学习复杂模式。 + +## 总结 + +多层神经网络是深度学习的基础,理解其结构对于后续学习CNN、RNN等模型非常重要。`, + }, + ], + }, + }, + }); + + const dl2 = await prisma.course.create({ + data: { + title: '卷积神经网络(CNN)', + description: '学习CNN在图像处理中的应用,包括卷积层、池化层等核心概念。', + category: 'DEEP_LEARNING', + difficulty: 'INTERMEDIATE', + estimatedHours: 6, + chapters: { + create: [ + { + title: '卷积操作', + order: 1, + content: `# 卷积操作 + +卷积是CNN的核心操作,用于提取图像特征。 + +## 什么是卷积 + +卷积是一种数学运算,通过滑动窗口(卷积核)在输入上移动,计算局部区域的加权和。 + +## 卷积过程 + +1. 将卷积核放在输入图像的左上角 +2. 计算卷积核覆盖区域的元素乘积之和 +3. 将结果写入输出特征图 +4. 滑动卷积核,重复步骤2-3 + +## 代码示例 + +\\\`\\\`\\\`python +import numpy as np +from scipy import signal + +# 简单的卷积实现 +def convolve2d(image, kernel): + return signal.convolve2d(image, kernel, mode='valid') +\\\`\\\`\\\` + +## 卷积核的作用 + +不同的卷积核可以检测不同的特征: +- 边缘检测 +- 模糊 +- 锐化 +- 特征提取 + +## 总结 + +理解卷积操作是掌握CNN的关键第一步。`, + }, + ], + }, + }, + }); + + // 创建NLP课程 + const nlp1 = await prisma.course.create({ + data: { + title: '文本预处理', + description: '学习NLP中的文本预处理技术,包括分词、去停用词、词干提取等。', + category: 'NLP', + difficulty: 'BEGINNER', + estimatedHours: 3, + chapters: { + create: [ + { + title: '分词', + order: 1, + content: `# 分词 + +分词是将文本切分成词语的过程,是NLP的基础步骤。 + +## 中文分词 + +中文没有明显的词边界,需要专门的分词工具: + +\\\`\\\`\\\`python +import jieba + +text = "自然语言处理是人工智能的重要分支" +words = jieba.cut(text) +print(list(words)) +# ['自然语言', '处理', '是', '人工智能', '的', '重要', '分支'] +\\\`\\\`\\\` + +## 英文分词 + +英文分词相对简单,通常按空格分割: + +\\\`\\\`\\\`python +text = "Natural language processing is important" +words = text.split() +print(words) +# ['Natural', 'language', 'processing', 'is', 'important'] +\\\`\\\`\\\` + +## 分词工具 + +- 中文:jieba, HanLP +- 英文:NLTK, spaCy + +## 总结 + +准确的分词是后续NLP任务的基础。`, + }, + ], + }, + }, + }); + + const nlp2 = await prisma.course.create({ + data: { + title: '词向量', + description: '学习词嵌入和词向量的表示方法,包括Word2Vec、GloVe等。', + category: 'NLP', + difficulty: 'INTERMEDIATE', + estimatedHours: 5, + chapters: { + create: [ + { + title: '词嵌入基础', + order: 1, + content: `# 词嵌入基础 + +词嵌入是将词语映射到低维连续向量空间的技术。 + +## 为什么需要词向量? + +传统方法(如one-hot编码)的问题: +- 维度高(词汇表大小) +- 稀疏 +- 无法表示词语间的语义关系 + +## 词向量的优势 + +- 低维密集表示 +- 语义相似的词向量距离近 +- 可以进行向量运算(如:king - man + woman ≈ queen) + +## Word2Vec + +Word2Vec是经典的词向量训练方法,包括: +- Skip-gram:用中心词预测上下文 +- CBOW:用上下文预测中心词 + +## 使用预训练词向量 + +\\\`\\\`\\\`python +from gensim.models import Word2Vec + +# 加载预训练模型 +model = Word2Vec.load('word2vec.model') +vector = model.wv['人工智能'] +\\\`\\\`\\\` + +## 总结 + +词向量是现代NLP的基础,理解它对于学习Transformer和LLM非常重要。`, + }, + ], + }, + }, + }); + + // 创建LLM课程 + const llm1 = await prisma.course.create({ + data: { + title: 'GPT原理', + description: '深入理解GPT(Generative Pre-trained Transformer)的工作原理和架构。', + category: 'LLM', + difficulty: 'ADVANCED', + estimatedHours: 8, + chapters: { + create: [ + { + title: 'Transformer架构', + order: 1, + content: `# Transformer架构 + +GPT基于Transformer架构,理解Transformer是理解GPT的基础。 + +## Transformer核心组件 + +1. **自注意力机制(Self-Attention)** +2. **位置编码(Positional Encoding)** +3. **前馈神经网络(Feed-Forward)** +4. **层归一化(Layer Normalization)** + +## 自注意力机制 + +自注意力允许模型关注输入序列的不同位置: + +\\\`\\\`\\\`python +Attention(Q, K, V) = softmax(QK^T / √d_k) V +\\\`\\\`\\\` + +其中: +- Q: Query(查询) +- K: Key(键) +- V: Value(值) + +## GPT的改进 + +GPT使用: +- 仅解码器(Decoder-only)架构 +- 因果掩码(Causal Masking)确保自回归生成 +- 位置编码 + +## 总结 + +Transformer是GPT的基础,理解其架构对于掌握大语言模型至关重要。`, + }, + { + title: '预训练与微调', + order: 2, + content: `# 预训练与微调 + +GPT采用两阶段训练:预训练和微调。 + +## 预训练阶段 + +在大规模无标注文本上训练,学习语言的基本规律: + +\\\`\\\`\\\`python +# 目标:预测下一个词 +损失 = -log P(w_t | w_1, ..., w_{t-1}) +\\\`\\\`\\\` + +## 微调阶段 + +在特定任务上微调,如: +- 文本分类 +- 问答 +- 文本生成 + +## 代码示例 + +\\\`\\\`\\\`python +from transformers import GPT2LMHeadModel, GPT2Tokenizer + +# 加载预训练模型 +model = GPT2LMHeadModel.from_pretrained('gpt2') +tokenizer = GPT2Tokenizer.from_pretrained('gpt2') + +# 微调(伪代码) +for batch in training_data: + outputs = model(batch.input_ids) + loss = compute_loss(outputs, batch.labels) + loss.backward() + optimizer.step() +\\\`\\\`\\\` + +## 总结 + +预训练+微调是GPT成功的关键,这种范式被广泛应用于大语言模型。`, + }, + ], + }, + }, + }); + + const llm2 = await prisma.course.create({ + data: { + title: 'Prompt工程', + description: '学习如何编写有效的Prompt来引导大语言模型生成期望的输出。', + category: 'LLM', + difficulty: 'INTERMEDIATE', + estimatedHours: 4, + chapters: { + create: [ + { + title: 'Prompt基础', + order: 1, + content: `# Prompt基础 + +Prompt是用户输入给大语言模型的指令或问题。 + +## 什么是Prompt + +Prompt是引导模型生成特定输出的文本输入。 + +## 好的Prompt的特征 + +1. **清晰明确**:明确表达需求 +2. **提供上下文**:给出必要的背景信息 +3. **指定格式**:如果需要特定格式,明确说明 +4. **示例引导**:提供few-shot示例 + +## 示例 + +### 不好的Prompt +\\\`\\\`\\\` +翻译 +\\\`\\\`\\\` + +### 好的Prompt +\\\`\\\`\\\` +请将以下英文翻译成中文: +"Hello, how are you?" +\\\`\\\`\\\` + +## Prompt技巧 + +- **角色设定**:让模型扮演特定角色 +- **思维链**:引导模型逐步思考 +- **输出格式**:指定JSON、Markdown等格式 + +## 总结 + +掌握Prompt工程是有效使用大语言模型的关键技能。`, + }, + ], + }, + }, + }); + + // 创建AI工具课程 + const tools1 = await prisma.course.create({ + data: { + title: 'LangChain入门', + description: '学习使用LangChain构建AI应用,包括链式调用、记忆、工具等核心概念。', + category: 'AI_TOOLS', + difficulty: 'INTERMEDIATE', + estimatedHours: 6, + chapters: { + create: [ + { + title: 'LangChain简介', + order: 1, + content: `# LangChain简介 + +LangChain是一个用于构建LLM应用的框架。 + +## 为什么需要LangChain + +直接使用LLM API的问题: +- 上下文管理复杂 +- 难以集成外部数据 +- 缺乏可复用组件 + +LangChain提供了: +- 模块化组件 +- 链式调用 +- 数据连接 +- 记忆管理 + +## 核心概念 + +1. **LLM/聊天模型**:与语言模型交互 +2. **提示模板**:可复用的Prompt +3. **链(Chain)**:组合多个组件 +4. **代理(Agent)**:使用工具执行任务 +5. **记忆(Memory)**:管理对话历史 + +## 快速开始 + +\\\`\\\`\\\`python +from langchain.llms import OpenAI +from langchain.prompts import PromptTemplate + +llm = OpenAI(temperature=0.9) +prompt = PromptTemplate( + input_variables=["topic"], + template="写一篇关于{topic}的短文。" +) + +chain = prompt | llm +result = chain.invoke({"topic": "人工智能"}) +print(result) +\\\`\\\`\\\` + +## 总结 + +LangChain大大简化了LLM应用的开发,是构建AI应用的重要工具。`, + }, + ], + }, + }, + }); + + const tools2 = await prisma.course.create({ + data: { + title: 'Hugging Face使用', + description: '学习使用Hugging Face Transformers库加载和使用预训练模型。', + category: 'AI_TOOLS', + difficulty: 'BEGINNER', + estimatedHours: 4, + chapters: { + create: [ + { + title: 'Transformers库', + order: 1, + content: `# Transformers库 + +Hugging Face Transformers提供了大量预训练模型。 + +## 安装 + +\\\`\\\`\\\`bash +pip install transformers torch +\\\`\\\`\\\` + +## 使用预训练模型 + +\\\`\\\`\\\`python +from transformers import AutoTokenizer, AutoModelForCausalLM + +# 加载模型和分词器 +tokenizer = AutoTokenizer.from_pretrained("gpt2") +model = AutoModelForCausalLM.from_pretrained("gpt2") + +# 编码输入 +inputs = tokenizer("人工智能是", return_tensors="pt") + +# 生成文本 +outputs = model.generate(**inputs, max_length=50) +text = tokenizer.decode(outputs[0]) +print(text) +\\\`\\\`\\\` + +## 模型Hub + +Hugging Face Hub提供了数万个预训练模型: +- 文本生成:GPT-2, GPT-Neo +- 文本分类:BERT, RoBERTa +- 翻译:mBART, T5 + +## 总结 + +Transformers库让使用预训练模型变得非常简单,是AI开发的重要工具。`, + }, + ], + }, + }, + }); + + console.log('数据库初始化完成!'); + console.log(`创建了 ${await prisma.course.count()} 门课程`); + console.log(`创建了 ${await prisma.chapter.count()} 个章节`); +} + +main() + .catch((e) => { + console.error(e); + process.exit(1); + }) + .finally(async () => { + await prisma.$disconnect(); + }); diff --git a/backend/scripts/setup-db.js b/backend/scripts/setup-db.js new file mode 100644 index 0000000..8bc4800 --- /dev/null +++ b/backend/scripts/setup-db.js @@ -0,0 +1,44 @@ +#!/usr/bin/env node + +// 数据库初始化脚本 (Node.js版本) + +import { execSync } from 'child_process'; +import path from 'path'; +import { fileURLToPath } from 'url'; + +const __filename = fileURLToPath(import.meta.url); +const __dirname = path.dirname(__filename); + +console.log('🚀 开始初始化数据库...\n'); + +const backendDir = path.join(__dirname, '..'); + +try { + // 生成Prisma Client + console.log('📦 生成Prisma Client...'); + execSync('npm run prisma:generate', { + cwd: backendDir, + stdio: 'inherit' + }); + + // 运行数据库迁移 + console.log('\n🗄️ 创建数据库和表结构...'); + execSync('npm run prisma:migrate -- --name init', { + cwd: backendDir, + stdio: 'inherit' + }); + + // 填充初始数据 + console.log('\n🌱 填充初始课程数据...'); + execSync('npm run prisma:seed', { + cwd: backendDir, + stdio: 'inherit' + }); + + console.log('\n✅ 数据库初始化完成!'); + console.log('\n数据库文件位置: backend/prisma/dev.db'); + console.log('现在可以运行 "npm run dev" 启动服务器了\n'); +} catch (error) { + console.error('\n❌ 数据库初始化失败:', error.message); + process.exit(1); +} diff --git a/backend/scripts/setup-db.sh b/backend/scripts/setup-db.sh new file mode 100644 index 0000000..ec9872c --- /dev/null +++ b/backend/scripts/setup-db.sh @@ -0,0 +1,25 @@ +#!/bin/bash + +# 数据库初始化脚本 + +echo "🚀 开始初始化数据库..." + +# 进入backend目录 +cd "$(dirname "$0")/.." + +# 生成Prisma Client +echo "📦 生成Prisma Client..." +npm run prisma:generate + +# 运行数据库迁移 +echo "🗄️ 创建数据库和表结构..." +npm run prisma:migrate -- --name init + +# 填充初始数据 +echo "🌱 填充初始课程数据..." +npm run prisma:seed + +echo "✅ 数据库初始化完成!" +echo "" +echo "数据库文件位置: backend/prisma/dev.db" +echo "现在可以运行 'npm run dev' 启动服务器了" diff --git a/backend/src/controllers/chapterController.ts b/backend/src/controllers/chapterController.ts new file mode 100644 index 0000000..e9fcf69 --- /dev/null +++ b/backend/src/controllers/chapterController.ts @@ -0,0 +1,32 @@ +import { Request, Response } from 'express'; +import { PrismaClient } from '@prisma/client'; + +const prisma = new PrismaClient(); + +export const getChapterById = async (req: Request, res: Response) => { + try { + const { id } = req.params; + + const chapter = await prisma.chapter.findUnique({ + where: { id }, + include: { + course: { + select: { + id: true, + title: true, + category: true, + }, + }, + }, + }); + + if (!chapter) { + return res.status(404).json({ error: 'Chapter not found' }); + } + + res.json(chapter); + } catch (error) { + console.error('Error fetching chapter:', error); + res.status(500).json({ error: 'Failed to fetch chapter' }); + } +}; diff --git a/backend/src/controllers/courseController.ts b/backend/src/controllers/courseController.ts new file mode 100644 index 0000000..25403f1 --- /dev/null +++ b/backend/src/controllers/courseController.ts @@ -0,0 +1,83 @@ +import { Request, Response } from 'express'; +import { PrismaClient } from '@prisma/client'; + +const prisma = new PrismaClient(); + +export const getCourses = async (req: Request, res: Response) => { + try { + const { category } = req.query; + const where = category ? { category: category as string } : {}; + + const courses = await prisma.course.findMany({ + where, + include: { + chapters: { + orderBy: { order: 'asc' }, + select: { + id: true, + title: true, + order: true, + }, + }, + }, + orderBy: { createdAt: 'asc' }, + }); + + res.json(courses); + } catch (error) { + console.error('Error fetching courses:', error); + res.status(500).json({ error: 'Failed to fetch courses' }); + } +}; + +export const getCourseById = async (req: Request, res: Response) => { + try { + const { id } = req.params; + + const course = await prisma.course.findUnique({ + where: { id }, + include: { + chapters: { + orderBy: { order: 'asc' }, + select: { + id: true, + title: true, + order: true, + }, + }, + }, + }); + + if (!course) { + return res.status(404).json({ error: 'Course not found' }); + } + + res.json(course); + } catch (error) { + console.error('Error fetching course:', error); + res.status(500).json({ error: 'Failed to fetch course' }); + } +}; + +export const getCourseChapters = async (req: Request, res: Response) => { + try { + const { id } = req.params; + + const chapters = await prisma.chapter.findMany({ + where: { courseId: id }, + orderBy: { order: 'asc' }, + select: { + id: true, + title: true, + order: true, + createdAt: true, + updatedAt: true, + }, + }); + + res.json(chapters); + } catch (error) { + console.error('Error fetching chapters:', error); + res.status(500).json({ error: 'Failed to fetch chapters' }); + } +}; diff --git a/backend/src/controllers/pathController.ts b/backend/src/controllers/pathController.ts new file mode 100644 index 0000000..74e4ebd --- /dev/null +++ b/backend/src/controllers/pathController.ts @@ -0,0 +1,98 @@ +import { Request, Response } from 'express'; +import { PrismaClient } from '@prisma/client'; +import { generateLearningPath } from '../services/pathService.js'; + +const prisma = new PrismaClient(); + +export const getPaths = async (req: Request, res: Response) => { + try { + const paths = await prisma.learningPath.findMany({ + include: { + pathItems: { + include: { + course: { + select: { + id: true, + title: true, + category: true, + }, + }, + chapter: { + select: { + id: true, + title: true, + order: true, + }, + }, + }, + orderBy: { order: 'asc' }, + }, + }, + orderBy: { createdAt: 'desc' }, + }); + + res.json(paths); + } catch (error) { + console.error('Error fetching paths:', error); + res.status(500).json({ error: 'Failed to fetch paths' }); + } +}; + +export const generatePath = async (req: Request, res: Response) => { + try { + const { interests, currentLevel } = req.body; + + if (!interests || !Array.isArray(interests) || interests.length === 0) { + return res.status(400).json({ error: 'Interests array is required' }); + } + + const path = await generateLearningPath(interests, currentLevel || 'BEGINNER'); + res.json(path); + } catch (error) { + console.error('Error generating path:', error); + res.status(500).json({ error: 'Failed to generate learning path' }); + } +}; + +export const getPathById = async (req: Request, res: Response) => { + try { + const { id } = req.params; + + const path = await prisma.learningPath.findUnique({ + where: { id }, + include: { + pathItems: { + include: { + course: { + select: { + id: true, + title: true, + description: true, + category: true, + difficulty: true, + estimatedHours: true, + }, + }, + chapter: { + select: { + id: true, + title: true, + order: true, + }, + }, + }, + orderBy: { order: 'asc' }, + }, + }, + }); + + if (!path) { + return res.status(404).json({ error: 'Path not found' }); + } + + res.json(path); + } catch (error) { + console.error('Error fetching path:', error); + res.status(500).json({ error: 'Failed to fetch path' }); + } +}; diff --git a/backend/src/controllers/progressController.ts b/backend/src/controllers/progressController.ts new file mode 100644 index 0000000..2ec57a2 --- /dev/null +++ b/backend/src/controllers/progressController.ts @@ -0,0 +1,78 @@ +import { Request, Response } from 'express'; +import { PrismaClient } from '@prisma/client'; + +const prisma = new PrismaClient(); +const DEFAULT_USER_ID = 'default'; + +export const getProgress = async (req: Request, res: Response) => { + try { + const { userId = DEFAULT_USER_ID } = req.query; + + const progress = await prisma.userProgress.findMany({ + where: { userId: userId as string }, + include: { + course: { + select: { + id: true, + title: true, + category: true, + }, + }, + }, + orderBy: { lastAccessed: 'desc' }, + }); + + res.json(progress); + } catch (error) { + console.error('Error fetching progress:', error); + res.status(500).json({ error: 'Failed to fetch progress' }); + } +}; + +export const updateProgress = async (req: Request, res: Response) => { + try { + const { courseId, chapterId, completed } = req.body; + const userId = DEFAULT_USER_ID; + + if (!courseId) { + return res.status(400).json({ error: 'courseId is required' }); + } + + // 先尝试查找现有记录 + const existing = await prisma.userProgress.findFirst({ + where: { + userId, + courseId, + chapterId: chapterId || null, + }, + }); + + let progress; + if (existing) { + // 更新现有记录 + progress = await prisma.userProgress.update({ + where: { id: existing.id }, + data: { + completed: completed !== undefined ? completed : existing.completed, + lastAccessed: new Date(), + }, + }); + } else { + // 创建新记录 + progress = await prisma.userProgress.create({ + data: { + userId, + courseId, + chapterId: chapterId || null, + completed: completed || false, + lastAccessed: new Date(), + }, + }); + } + + res.json(progress); + } catch (error) { + console.error('Error updating progress:', error); + res.status(500).json({ error: 'Failed to update progress' }); + } +}; diff --git a/backend/src/index.ts b/backend/src/index.ts new file mode 100644 index 0000000..7516cd9 --- /dev/null +++ b/backend/src/index.ts @@ -0,0 +1,28 @@ +import express from 'express'; +import cors from 'cors'; +import courseRoutes from './routes/courses.js'; +import chapterRoutes from './routes/chapters.js'; +import pathRoutes from './routes/paths.js'; +import progressRoutes from './routes/progress.js'; + +const app = express(); +const PORT = process.env.PORT || 3001; + +// Middleware +app.use(cors()); +app.use(express.json()); + +// Routes +app.use('/api/courses', courseRoutes); +app.use('/api/chapters', chapterRoutes); +app.use('/api/paths', pathRoutes); +app.use('/api/progress', progressRoutes); + +// Health check +app.get('/api/health', (req, res) => { + res.json({ status: 'ok', message: 'AI Learning Platform API' }); +}); + +app.listen(PORT, () => { + console.log(`🚀 Server running on http://localhost:${PORT}`); +}); diff --git a/backend/src/routes/chapters.ts b/backend/src/routes/chapters.ts new file mode 100644 index 0000000..6d4bc6e --- /dev/null +++ b/backend/src/routes/chapters.ts @@ -0,0 +1,8 @@ +import { Router } from 'express'; +import { getChapterById } from '../controllers/chapterController.js'; + +const router = Router(); + +router.get('/:id', getChapterById); + +export default router; diff --git a/backend/src/routes/courses.ts b/backend/src/routes/courses.ts new file mode 100644 index 0000000..791e08a --- /dev/null +++ b/backend/src/routes/courses.ts @@ -0,0 +1,10 @@ +import { Router } from 'express'; +import { getCourses, getCourseById, getCourseChapters } from '../controllers/courseController.js'; + +const router = Router(); + +router.get('/', getCourses); +router.get('/:id', getCourseById); +router.get('/:id/chapters', getCourseChapters); + +export default router; diff --git a/backend/src/routes/paths.ts b/backend/src/routes/paths.ts new file mode 100644 index 0000000..9a2867a --- /dev/null +++ b/backend/src/routes/paths.ts @@ -0,0 +1,10 @@ +import { Router } from 'express'; +import { getPaths, generatePath, getPathById } from '../controllers/pathController.js'; + +const router = Router(); + +router.get('/', getPaths); +router.post('/generate', generatePath); +router.get('/:id', getPathById); + +export default router; diff --git a/backend/src/routes/progress.ts b/backend/src/routes/progress.ts new file mode 100644 index 0000000..f89483f --- /dev/null +++ b/backend/src/routes/progress.ts @@ -0,0 +1,9 @@ +import { Router } from 'express'; +import { getProgress, updateProgress } from '../controllers/progressController.js'; + +const router = Router(); + +router.get('/', getProgress); +router.post('/', updateProgress); + +export default router; diff --git a/backend/src/services/pathService.ts b/backend/src/services/pathService.ts new file mode 100644 index 0000000..cee5a4e --- /dev/null +++ b/backend/src/services/pathService.ts @@ -0,0 +1,139 @@ +import { PrismaClient } from '@prisma/client'; +import { CourseCategory, Difficulty } from '@ai-learning/shared'; + +const prisma = new PrismaClient(); + +// 课程依赖关系映射 +const courseDependencies: Record = { + 'DEEP_LEARNING': ['ML_BASICS'], + 'NLP': ['ML_BASICS'], + 'LLM': ['DEEP_LEARNING', 'NLP'], + 'AI_TOOLS': ['LLM'], +}; + +// 难度排序 +const difficultyOrder = { + 'BEGINNER': 1, + 'INTERMEDIATE': 2, + 'ADVANCED': 3, +}; + +export async function generateLearningPath( + interests: string[], + currentLevel: string = 'BEGINNER' +): Promise { + // 获取所有相关课程 + const allCourses = await prisma.course.findMany({ + where: { + category: { + in: interests, + }, + }, + include: { + chapters: { + orderBy: { order: 'asc' }, + }, + }, + orderBy: [ + { difficulty: 'asc' }, + { createdAt: 'asc' }, + ], + }); + + // 构建课程依赖图 + const courseMap = new Map(allCourses.map(c => [c.id, c])); + const sortedCourses: typeof allCourses = []; + const visited = new Set(); + const visiting = new Set(); + + // 拓扑排序函数 + function visit(courseId: string) { + if (visiting.has(courseId)) { + return; // 避免循环依赖 + } + if (visited.has(courseId)) { + return; + } + + const course = courseMap.get(courseId); + if (!course) return; + + visiting.add(courseId); + + // 先访问依赖课程 + const deps = courseDependencies[course.category] || []; + for (const depCategory of deps) { + const depCourses = allCourses.filter(c => + c.category === depCategory && + difficultyOrder[c.difficulty as keyof typeof difficultyOrder] <= + difficultyOrder[course.difficulty as keyof typeof difficultyOrder] + ); + for (const depCourse of depCourses) { + visit(depCourse.id); + } + } + + visiting.delete(courseId); + visited.add(courseId); + sortedCourses.push(course); + } + + // 对每个兴趣领域的课程进行排序 + for (const interest of interests) { + const interestCourses = allCourses.filter(c => c.category === interest); + for (const course of interestCourses) { + visit(course.id); + } + } + + // 过滤掉不符合当前水平的课程 + const userLevel = difficultyOrder[currentLevel as keyof typeof difficultyOrder]; + const filteredCourses = sortedCourses.filter(course => { + const courseLevel = difficultyOrder[course.difficulty as keyof typeof difficultyOrder]; + return courseLevel <= userLevel + 1; // 允许高一级的课程 + }); + + // 创建学习路径 + const pathName = `个性化学习路径 - ${interests.join(', ')}`; + const pathDescription = `基于您的兴趣领域 ${interests.join('、')} 和当前水平 ${currentLevel} 生成的学习路径`; + + const path = await prisma.learningPath.create({ + data: { + name: pathName, + description: pathDescription, + targetAudience: `水平: ${currentLevel}`, + pathItems: { + create: filteredCourses.flatMap((course, courseIndex) => { + const items = []; + // 添加课程节点 + items.push({ + courseId: course.id, + order: courseIndex * 100, + type: 'course', + }); + // 添加章节节点 + course.chapters.forEach((chapter, chapterIndex) => { + items.push({ + courseId: course.id, + chapterId: chapter.id, + order: courseIndex * 100 + chapterIndex + 1, + type: 'chapter', + }); + }); + return items; + }), + }, + }, + include: { + pathItems: { + include: { + course: true, + chapter: true, + }, + orderBy: { order: 'asc' }, + }, + }, + }); + + return path; +} diff --git a/backend/tsconfig.json b/backend/tsconfig.json new file mode 100644 index 0000000..22daf44 --- /dev/null +++ b/backend/tsconfig.json @@ -0,0 +1,18 @@ +{ + "compilerOptions": { + "target": "ES2020", + "module": "ESNext", + "lib": ["ES2020"], + "outDir": "./dist", + "rootDir": "./src", + "strict": true, + "esModuleInterop": true, + "skipLibCheck": true, + "forceConsistentCasingInFileNames": true, + "resolveJsonModule": true, + "moduleResolution": "node", + "allowSyntheticDefaultImports": true + }, + "include": ["src/**/*"], + "exclude": ["node_modules", "dist"] +} diff --git a/frontend/index.html b/frontend/index.html new file mode 100644 index 0000000..b707121 --- /dev/null +++ b/frontend/index.html @@ -0,0 +1,13 @@ + + + + + + + AI学习平台 + + +
+ + + diff --git a/frontend/package.json b/frontend/package.json new file mode 100644 index 0000000..b4f3fc4 --- /dev/null +++ b/frontend/package.json @@ -0,0 +1,38 @@ +{ + "name": "@ai-learning/frontend", + "version": "1.0.0", + "type": "module", + "scripts": { + "dev": "vite", + "build": "tsc && vite build", + "preview": "vite preview", + "lint": "eslint . --ext ts,tsx --report-unused-disable-directives --max-warnings 0" + }, + "dependencies": { + "@ai-learning/shared": "*", + "react": "^18.2.0", + "react-dom": "^18.2.0", + "react-router-dom": "^6.21.1", + "react-markdown": "^9.0.1", + "remark-gfm": "^4.0.0", + "rehype-highlight": "^7.0.0", + "highlight.js": "^11.9.0", + "axios": "^1.6.2", + "zustand": "^4.4.7" + }, + "devDependencies": { + "@types/react": "^18.2.43", + "@types/react-dom": "^18.2.17", + "@typescript-eslint/eslint-plugin": "^6.14.0", + "@typescript-eslint/parser": "^6.14.0", + "@vitejs/plugin-react": "^4.2.1", + "autoprefixer": "^10.4.16", + "eslint": "^8.55.0", + "eslint-plugin-react-hooks": "^4.6.0", + "eslint-plugin-react-refresh": "^0.4.5", + "postcss": "^8.4.32", + "tailwindcss": "^3.4.0", + "typescript": "^5.3.3", + "vite": "^5.0.8" + } +} diff --git a/frontend/postcss.config.js b/frontend/postcss.config.js new file mode 100644 index 0000000..2e7af2b --- /dev/null +++ b/frontend/postcss.config.js @@ -0,0 +1,6 @@ +export default { + plugins: { + tailwindcss: {}, + autoprefixer: {}, + }, +} diff --git a/frontend/src/App.tsx b/frontend/src/App.tsx new file mode 100644 index 0000000..6001c7d --- /dev/null +++ b/frontend/src/App.tsx @@ -0,0 +1,30 @@ +import { BrowserRouter as Router, Routes, Route } from 'react-router-dom'; +import { ErrorBoundary } from './components/ErrorBoundary'; +import Layout from './components/Layout'; +import HomePage from './pages/HomePage'; +import CoursesPage from './pages/CoursesPage'; +import CourseDetailPage from './pages/CourseDetailPage'; +import ChapterPage from './pages/ChapterPage'; +import LearningPathPage from './pages/LearningPathPage'; +import PathDetailPage from './pages/PathDetailPage'; + +function App() { + return ( + + + + + } /> + } /> + } /> + } /> + } /> + } /> + + + + + ); +} + +export default App; diff --git a/frontend/src/components/ErrorBoundary.tsx b/frontend/src/components/ErrorBoundary.tsx new file mode 100644 index 0000000..57e6111 --- /dev/null +++ b/frontend/src/components/ErrorBoundary.tsx @@ -0,0 +1,48 @@ +import React, { Component, ErrorInfo, ReactNode } from 'react'; + +interface Props { + children: ReactNode; +} + +interface State { + hasError: boolean; + error: Error | null; +} + +export class ErrorBoundary extends Component { + public state: State = { + hasError: false, + error: null, + }; + + public static getDerivedStateFromError(error: Error): State { + return { hasError: true, error }; + } + + public componentDidCatch(error: Error, errorInfo: ErrorInfo) { + console.error('Uncaught error:', error, errorInfo); + } + + public render() { + if (this.state.hasError) { + return ( +
+
+

出现错误

+

+ {this.state.error?.message || '未知错误'} +

+ +
+
+ ); + } + + return this.props.children; + } +} diff --git a/frontend/src/components/Layout.tsx b/frontend/src/components/Layout.tsx new file mode 100644 index 0000000..7fadd60 --- /dev/null +++ b/frontend/src/components/Layout.tsx @@ -0,0 +1,78 @@ +import { Link, useLocation } from 'react-router-dom'; + +interface LayoutProps { + children: React.ReactNode; +} + +export default function Layout({ children }: LayoutProps) { + const location = useLocation(); + + const isActive = (path: string) => { + return location.pathname === path || location.pathname.startsWith(path + '/'); + }; + + return ( +
+ {/* Header */} +
+
+
+ +
+ AI +
+ AI学习平台 + + + +
+
+
+ + {/* Main Content */} +
+ {children} +
+ + {/* Footer */} +
+
+

+ © 2024 AI学习平台. 面向开发者的AI知识学习平台. +

+
+
+
+ ); +} diff --git a/frontend/src/index.css b/frontend/src/index.css new file mode 100644 index 0000000..2b7d875 --- /dev/null +++ b/frontend/src/index.css @@ -0,0 +1,59 @@ +@tailwind base; +@tailwind components; +@tailwind utilities; + +@layer base { + body { + @apply bg-gray-50 text-gray-900; + } +} + +@layer components { + .prose { + @apply max-w-none; + } + + .prose h1 { + @apply text-3xl font-bold mt-8 mb-4; + } + + .prose h2 { + @apply text-2xl font-semibold mt-6 mb-3; + } + + .prose h3 { + @apply text-xl font-semibold mt-4 mb-2; + } + + .prose p { + @apply mb-4 leading-relaxed; + } + + .prose code { + @apply bg-gray-100 px-1.5 py-0.5 rounded text-sm font-mono; + } + + .prose pre { + @apply bg-gray-900 text-gray-100 p-4 rounded-lg overflow-x-auto mb-4; + } + + .prose pre code { + @apply bg-transparent p-0 text-gray-100; + } + + .prose ul, .prose ol { + @apply mb-4 ml-6; + } + + .prose li { + @apply mb-2; + } + + .prose a { + @apply text-primary-600 hover:text-primary-700 underline; + } + + .prose blockquote { + @apply border-l-4 border-primary-300 pl-4 italic my-4; + } +} diff --git a/frontend/src/main.tsx b/frontend/src/main.tsx new file mode 100644 index 0000000..9aa52ff --- /dev/null +++ b/frontend/src/main.tsx @@ -0,0 +1,10 @@ +import React from 'react'; +import ReactDOM from 'react-dom/client'; +import App from './App'; +import './index.css'; + +ReactDOM.createRoot(document.getElementById('root')!).render( + + + , +); diff --git a/frontend/src/pages/ChapterPage.tsx b/frontend/src/pages/ChapterPage.tsx new file mode 100644 index 0000000..810dcc1 --- /dev/null +++ b/frontend/src/pages/ChapterPage.tsx @@ -0,0 +1,114 @@ +import { useEffect, useState } from 'react'; +import { useParams, Link } from 'react-router-dom'; +import ReactMarkdown from 'react-markdown'; +import remarkGfm from 'remark-gfm'; +import rehypeHighlight from 'rehype-highlight'; +import { chapterApi, progressApi } from '../services/api'; +import type { Chapter } from '@ai-learning/shared'; +import 'highlight.js/styles/github-dark.css'; + +export default function ChapterPage() { + const { id } = useParams<{ id: string }>(); + const [chapter, setChapter] = useState(null); + const [loading, setLoading] = useState(true); + const [completed, setCompleted] = useState(false); + + useEffect(() => { + if (id) { + loadChapter(); + } + }, [id]); + + const loadChapter = async () => { + if (!id) return; + + try { + setLoading(true); + const response = await chapterApi.getById(id); + setChapter(response.data); + + // Load progress + if (response.data.courseId) { + try { + const progressResponse = await progressApi.getAll(); + const progress = progressResponse.data.find( + p => p.chapterId === id && p.completed + ); + setCompleted(!!progress); + } catch (error) { + // Ignore progress errors + } + } + } catch (error) { + console.error('Failed to load chapter:', error); + } finally { + setLoading(false); + } + }; + + const handleMarkComplete = async () => { + if (!chapter) return; + + try { + await progressApi.update({ + courseId: chapter.courseId, + chapterId: chapter.id, + completed: !completed, + }); + setCompleted(!completed); + } catch (error) { + console.error('Failed to update progress:', error); + } + }; + + if (loading) { + return ( +
+
加载中...
+
+ ); + } + + if (!chapter) { + return ( +
+
章节不存在
+
+ ); + } + + return ( +
+
+ + ← 返回课程 + +
+

{chapter.title}

+ +
+
+ +
+ + {chapter.content} + +
+
+ ); +} diff --git a/frontend/src/pages/CourseDetailPage.tsx b/frontend/src/pages/CourseDetailPage.tsx new file mode 100644 index 0000000..10e0380 --- /dev/null +++ b/frontend/src/pages/CourseDetailPage.tsx @@ -0,0 +1,105 @@ +import { useEffect, useState } from 'react'; +import { useParams, Link } from 'react-router-dom'; +import { courseApi } from '../services/api'; +import type { Course, Chapter } from '@ai-learning/shared'; + +export default function CourseDetailPage() { + const { id } = useParams<{ id: string }>(); + const [course, setCourse] = useState(null); + const [chapters, setChapters] = useState([]); + const [loading, setLoading] = useState(true); + + useEffect(() => { + if (id) { + loadCourse(); + } + }, [id]); + + const loadCourse = async () => { + if (!id) return; + + try { + setLoading(true); + const [courseResponse, chaptersResponse] = await Promise.all([ + courseApi.getById(id), + courseApi.getChapters(id), + ]); + setCourse(courseResponse.data); + setChapters(chaptersResponse.data); + } catch (error) { + console.error('Failed to load course:', error); + } finally { + setLoading(false); + } + }; + + if (loading) { + return ( +
+
加载中...
+
+ ); + } + + if (!course) { + return ( +
+
课程不存在
+
+ ); + } + + return ( +
+
+

{course.title}

+

{course.description}

+ +
+ 分类: {course.category} + 难度: {course.difficulty} + 预计时长: {course.estimatedHours} 小时 +
+
+ +
+

课程章节

+ + {chapters.length === 0 ? ( +

暂无章节

+ ) : ( +
+ {chapters.map((chapter) => ( + +
+
+

+ {chapter.order}. {chapter.title} +

+
+ + + +
+ + ))} +
+ )} +
+
+ ); +} diff --git a/frontend/src/pages/CoursesPage.tsx b/frontend/src/pages/CoursesPage.tsx new file mode 100644 index 0000000..591516e --- /dev/null +++ b/frontend/src/pages/CoursesPage.tsx @@ -0,0 +1,145 @@ +import { useEffect, useState } from 'react'; +import { Link, useSearchParams } from 'react-router-dom'; +import { courseApi } from '../services/api'; +import type { Course } from '@ai-learning/shared'; +import { CourseCategory } from '@ai-learning/shared'; + +const categoryLabels: Record = { + [CourseCategory.ML_BASICS]: '机器学习基础', + [CourseCategory.DEEP_LEARNING]: '深度学习', + [CourseCategory.NLP]: '自然语言处理', + [CourseCategory.LLM]: '大语言模型', + [CourseCategory.AI_TOOLS]: 'AI工具', +}; + +const difficultyLabels: Record = { + BEGINNER: '初级', + INTERMEDIATE: '中级', + ADVANCED: '高级', +}; + +const difficultyColors: Record = { + BEGINNER: 'bg-green-100 text-green-800', + INTERMEDIATE: 'bg-yellow-100 text-yellow-800', + ADVANCED: 'bg-red-100 text-red-800', +}; + +export default function CoursesPage() { + const [searchParams, setSearchParams] = useSearchParams(); + const [courses, setCourses] = useState([]); + const [loading, setLoading] = useState(true); + const category = searchParams.get('category') || ''; + + useEffect(() => { + loadCourses(); + }, [category]); + + const loadCourses = async () => { + try { + setLoading(true); + const response = await courseApi.getAll(category || undefined); + console.log('Courses loaded:', response.data); + setCourses(response.data); + } catch (error: any) { + console.error('Failed to load courses:', error); + console.error('Error details:', error.response?.data || error.message); + // 显示错误信息给用户 + alert('加载课程失败: ' + (error.response?.data?.error || error.message)); + } finally { + setLoading(false); + } + }; + + const handleCategoryChange = (newCategory: string) => { + if (newCategory) { + setSearchParams({ category: newCategory }); + } else { + setSearchParams({}); + } + }; + + if (loading) { + return ( +
+
+
+

加载中...

+
+
+ ); + } + + return ( +
+
+

所有课程

+ + {/* Category Filter */} +
+ + {Object.entries(categoryLabels).map(([key, label]) => ( + + ))} +
+
+ + {courses.length === 0 ? ( +
+

暂无课程

+
+ ) : ( +
+ {courses.map((course) => ( + +
+ + {categoryLabels[course.category as CourseCategory]} + +

+ {course.title} +

+

+ {course.description} +

+
+ +
+ + {difficultyLabels[course.difficulty] || course.difficulty} + + + {course.estimatedHours} 小时 + +
+ + ))} +
+ )} +
+ ); +} diff --git a/frontend/src/pages/HomePage.tsx b/frontend/src/pages/HomePage.tsx new file mode 100644 index 0000000..5db9472 --- /dev/null +++ b/frontend/src/pages/HomePage.tsx @@ -0,0 +1,138 @@ +import { Link } from 'react-router-dom'; +import { CourseCategory } from '@ai-learning/shared'; + +const categoryInfo = { + [CourseCategory.ML_BASICS]: { + name: '机器学习基础', + description: '从零开始学习机器学习的基本概念和算法', + color: 'bg-blue-500', + }, + [CourseCategory.DEEP_LEARNING]: { + name: '深度学习', + description: '深入理解神经网络和深度学习技术', + color: 'bg-purple-500', + }, + [CourseCategory.NLP]: { + name: '自然语言处理', + description: '掌握文本处理和语言模型的核心技术', + color: 'bg-green-500', + }, + [CourseCategory.LLM]: { + name: '大语言模型', + description: '学习GPT、BERT等大语言模型的原理和应用', + color: 'bg-orange-500', + }, + [CourseCategory.AI_TOOLS]: { + name: 'AI工具', + description: '掌握LangChain、Hugging Face等实用AI工具', + color: 'bg-pink-500', + }, +}; + +export default function HomePage() { + return ( +
+ {/* Hero Section */} +
+

+ 欢迎来到 AI 学习平台 +

+

+ 面向开发者的AI知识学习平台,提供结构化的课程内容和智能学习路径推荐 +

+
+ + 浏览课程 + + + 创建学习路径 + +
+
+ + {/* Categories */} +
+

+ 学习分类 +

+
+ {Object.entries(categoryInfo).map(([category, info]) => ( + +
+ + {info.name[0]} + +
+

+ {info.name} +

+

+ {info.description} +

+ + ))} +
+
+ + {/* Features */} +
+

+ 平台特色 +

+
+
+
+ + + +
+

+ 结构化课程 +

+

+ 精心设计的课程体系,从基础到进阶,循序渐进 +

+
+ +
+
+ + + +
+

+ 个性化路径 +

+

+ 基于您的兴趣和水平,智能推荐最适合的学习路径 +

+
+ +
+
+ + + +
+

+ 进度跟踪 +

+

+ 实时记录学习进度,帮助您更好地规划学习 +

+
+
+
+
+ ); +} diff --git a/frontend/src/pages/LearningPathPage.tsx b/frontend/src/pages/LearningPathPage.tsx new file mode 100644 index 0000000..954646d --- /dev/null +++ b/frontend/src/pages/LearningPathPage.tsx @@ -0,0 +1,175 @@ +import { useEffect, useState } from 'react'; +import { Link } from 'react-router-dom'; +import { pathApi } from '../services/api'; +import type { LearningPath } from '@ai-learning/shared'; +import { CourseCategory, Difficulty } from '@ai-learning/shared'; + +const categoryOptions: { value: CourseCategory; label: string }[] = [ + { value: CourseCategory.ML_BASICS, label: '机器学习基础' }, + { value: CourseCategory.DEEP_LEARNING, label: '深度学习' }, + { value: CourseCategory.NLP, label: '自然语言处理' }, + { value: CourseCategory.LLM, label: '大语言模型' }, + { value: CourseCategory.AI_TOOLS, label: 'AI工具' }, +]; + +const difficultyOptions: { value: Difficulty; label: string }[] = [ + { value: Difficulty.BEGINNER, label: '初级' }, + { value: Difficulty.INTERMEDIATE, label: '中级' }, + { value: Difficulty.ADVANCED, label: '高级' }, +]; + +export default function LearningPathPage() { + const [paths, setPaths] = useState([]); + const [loading, setLoading] = useState(true); + const [selectedInterests, setSelectedInterests] = useState([]); + const [selectedLevel, setSelectedLevel] = useState(Difficulty.BEGINNER); + const [generating, setGenerating] = useState(false); + + useEffect(() => { + loadPaths(); + }, []); + + const loadPaths = async () => { + try { + setLoading(true); + const response = await pathApi.getAll(); + setPaths(response.data); + } catch (error) { + console.error('Failed to load paths:', error); + } finally { + setLoading(false); + } + }; + + const handleInterestToggle = (category: CourseCategory) => { + setSelectedInterests((prev) => + prev.includes(category) + ? prev.filter((c) => c !== category) + : [...prev, category] + ); + }; + + const handleGeneratePath = async () => { + if (selectedInterests.length === 0) { + alert('请至少选择一个兴趣领域'); + return; + } + + try { + setGenerating(true); + const response = await pathApi.generate({ + interests: selectedInterests, + currentLevel: selectedLevel, + }); + await loadPaths(); // Reload paths to show the new one + // Navigate to the new path + window.location.href = `/paths/${response.data.id}`; + } catch (error) { + console.error('Failed to generate path:', error); + alert('生成学习路径失败,请重试'); + } finally { + setGenerating(false); + } + }; + + if (loading) { + return ( +
+
加载中...
+
+ ); + } + + return ( +
+

学习路径

+ + {/* Generate Path Form */} +
+

创建个性化学习路径

+ +
+
+ +
+ {categoryOptions.map((option) => ( + + ))} +
+
+ +
+ +
+ {difficultyOptions.map((option) => ( + + ))} +
+
+ + +
+
+ + {/* Existing Paths */} +
+

已有学习路径

+ + {paths.length === 0 ? ( +
+

暂无学习路径,请创建一个

+
+ ) : ( +
+ {paths.map((path) => ( + +

+ {path.name} +

+

{path.description}

+
+ 目标受众: {path.targetAudience} + {path.pathItems?.length || 0} 个学习项 +
+ + ))} +
+ )} +
+
+ ); +} diff --git a/frontend/src/pages/PathDetailPage.tsx b/frontend/src/pages/PathDetailPage.tsx new file mode 100644 index 0000000..52a9fcf --- /dev/null +++ b/frontend/src/pages/PathDetailPage.tsx @@ -0,0 +1,146 @@ +import { useEffect, useState } from 'react'; +import { useParams, Link } from 'react-router-dom'; +import { pathApi } from '../services/api'; +import type { LearningPath } from '@ai-learning/shared'; + +export default function PathDetailPage() { + const { id } = useParams<{ id: string }>(); + const [path, setPath] = useState(null); + const [loading, setLoading] = useState(true); + + useEffect(() => { + if (id) { + loadPath(); + } + }, [id]); + + const loadPath = async () => { + if (!id) return; + + try { + setLoading(true); + const response = await pathApi.getById(id); + setPath(response.data); + } catch (error) { + console.error('Failed to load path:', error); + } finally { + setLoading(false); + } + }; + + if (loading) { + return ( +
+
加载中...
+
+ ); + } + + if (!path) { + return ( +
+
学习路径不存在
+
+ ); + } + + return ( +
+ + ← 返回学习路径 + + +
+

{path.name}

+

{path.description}

+

目标受众: {path.targetAudience}

+
+ +
+

学习路径

+ + {!path.pathItems || path.pathItems.length === 0 ? ( +

路径为空

+ ) : ( +
+ {path.pathItems.map((item, index) => ( +
+
+ {index + 1} +
+
+ {item.type === 'course' ? ( + +
+
+ 课程 +

+ {item.course?.title || '未知课程'} +

+ {item.course?.description && ( +

+ {item.course.description} +

+ )} +
+ + + +
+ + ) : ( + +
+
+ 章节 +

+ {item.chapter?.title || '未知章节'} +

+

+ 来自: {item.course?.title || '未知课程'} +

+
+ + + +
+ + )} +
+
+ ))} +
+ )} +
+
+ ); +} diff --git a/frontend/src/services/api.ts b/frontend/src/services/api.ts new file mode 100644 index 0000000..421aab1 --- /dev/null +++ b/frontend/src/services/api.ts @@ -0,0 +1,70 @@ +import axios from 'axios'; +import type { Course, Chapter, LearningPath, UserProgress, GeneratePathRequest } from '@ai-learning/shared'; + +const api = axios.create({ + baseURL: '/api', + headers: { + 'Content-Type': 'application/json', + }, +}); + +// 添加请求拦截器用于调试 +api.interceptors.request.use( + (config) => { + console.log('API Request:', config.method?.toUpperCase(), config.url); + return config; + }, + (error) => { + console.error('API Request Error:', error); + return Promise.reject(error); + } +); + +// 添加响应拦截器用于调试 +api.interceptors.response.use( + (response) => { + console.log('API Response:', response.config.url, response.status); + return response; + }, + (error) => { + console.error('API Response Error:', error.config?.url, error.response?.status, error.response?.data); + return Promise.reject(error); + } +); + +export const courseApi = { + getAll: (category?: string) => + api.get('/courses', { params: { category } }), + + getById: (id: string) => + api.get(`/courses/${id}`), + + getChapters: (courseId: string) => + api.get(`/courses/${courseId}/chapters`), +}; + +export const chapterApi = { + getById: (id: string) => + api.get(`/chapters/${id}`), +}; + +export const pathApi = { + getAll: () => + api.get('/paths'), + + generate: (data: GeneratePathRequest) => + api.post('/paths/generate', data), + + getById: (id: string) => + api.get(`/paths/${id}`), +}; + +export const progressApi = { + getAll: (userId?: string) => + api.get('/progress', { params: { userId } }), + + update: (data: { courseId: string; chapterId?: string; completed: boolean }) => + api.post('/progress', data), +}; + +export default api; diff --git a/frontend/tailwind.config.js b/frontend/tailwind.config.js new file mode 100644 index 0000000..744256b --- /dev/null +++ b/frontend/tailwind.config.js @@ -0,0 +1,26 @@ +/** @type {import('tailwindcss').Config} */ +export default { + content: [ + "./index.html", + "./src/**/*.{js,ts,jsx,tsx}", + ], + theme: { + extend: { + colors: { + primary: { + 50: '#f0f9ff', + 100: '#e0f2fe', + 200: '#bae6fd', + 300: '#7dd3fc', + 400: '#38bdf8', + 500: '#0ea5e9', + 600: '#0284c7', + 700: '#0369a1', + 800: '#075985', + 900: '#0c4a6e', + }, + }, + }, + }, + plugins: [], +} diff --git a/frontend/tsconfig.json b/frontend/tsconfig.json new file mode 100644 index 0000000..c20738e --- /dev/null +++ b/frontend/tsconfig.json @@ -0,0 +1,25 @@ +{ + "compilerOptions": { + "target": "ES2020", + "useDefineForClassFields": true, + "lib": ["ES2020", "DOM", "DOM.Iterable"], + "module": "ESNext", + "skipLibCheck": true, + "moduleResolution": "bundler", + "allowImportingTsExtensions": true, + "resolveJsonModule": true, + "isolatedModules": true, + "noEmit": true, + "jsx": "react-jsx", + "strict": true, + "noUnusedLocals": true, + "noUnusedParameters": true, + "noFallthroughCasesInSwitch": true, + "baseUrl": ".", + "paths": { + "@/*": ["./src/*"] + } + }, + "include": ["src"], + "references": [{ "path": "./tsconfig.node.json" }] +} diff --git a/frontend/tsconfig.node.json b/frontend/tsconfig.node.json new file mode 100644 index 0000000..42872c5 --- /dev/null +++ b/frontend/tsconfig.node.json @@ -0,0 +1,10 @@ +{ + "compilerOptions": { + "composite": true, + "skipLibCheck": true, + "module": "ESNext", + "moduleResolution": "bundler", + "allowSyntheticDefaultImports": true + }, + "include": ["vite.config.ts"] +} diff --git a/frontend/vite.config.ts b/frontend/vite.config.ts new file mode 100644 index 0000000..57e22f3 --- /dev/null +++ b/frontend/vite.config.ts @@ -0,0 +1,21 @@ +import { defineConfig } from 'vite'; +import react from '@vitejs/plugin-react'; +import path from 'path'; + +export default defineConfig({ + plugins: [react()], + resolve: { + alias: { + '@': path.resolve(__dirname, './src'), + }, + }, + server: { + port: 3000, + proxy: { + '/api': { + target: 'http://localhost:3001', + changeOrigin: true, + }, + }, + }, +}); diff --git a/package-lock.json b/package-lock.json new file mode 100644 index 0000000..3865e13 --- /dev/null +++ b/package-lock.json @@ -0,0 +1,7777 @@ +{ + "name": "ai-learning-platform", + "version": "1.0.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "ai-learning-platform", + "version": "1.0.0", + "workspaces": [ + "frontend", + "backend", + "shared" + ], + "devDependencies": { + "concurrently": "^8.2.2" + } + }, + "backend": { + "name": "@ai-learning/backend", + "version": "1.0.0", + "dependencies": { + "@ai-learning/shared": "*", + "@prisma/client": "^5.7.1", + "cors": "^2.8.5", + "express": "^4.18.2" + }, + "devDependencies": { + "@types/cors": "^2.8.17", + "@types/express": "^4.17.21", + "@types/node": "^20.10.6", + "prisma": "^5.7.1", + "tsx": "^4.7.1", + "typescript": "^5.3.3" + } + }, + "frontend": { + "name": 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"shared" + ], + "scripts": { + "dev": "concurrently \"npm run dev:backend\" \"npm run dev:frontend\"", + "dev:frontend": "npm run dev --workspace=frontend", + "dev:backend": "npm run dev --workspace=backend", + "build": "npm run build --workspace=frontend && npm run build --workspace=backend", + "install:all": "npm install && npm install --workspace=frontend && npm install --workspace=backend && npm install --workspace=shared" + }, + "devDependencies": { + "concurrently": "^8.2.2" + } +} diff --git a/shared/package.json b/shared/package.json new file mode 100644 index 0000000..ff4e4b4 --- /dev/null +++ b/shared/package.json @@ -0,0 +1,11 @@ +{ + "name": "@ai-learning/shared", + "version": "1.0.0", + "main": "./src/index.ts", + "types": "./src/index.ts", + "scripts": {}, + "dependencies": {}, + "devDependencies": { + "typescript": "^5.3.3" + } +} diff --git a/shared/src/index.ts b/shared/src/index.ts new file mode 100644 index 0000000..9d45cd0 --- /dev/null +++ b/shared/src/index.ts @@ -0,0 +1,77 @@ +// Course types +export interface Course { + id: string; + title: string; + description: string; + category: CourseCategory; + difficulty: Difficulty; + estimatedHours: number; + createdAt: Date; + updatedAt: Date; +} + +export interface Chapter { + id: string; + courseId: string; + title: string; + order: number; + content: string; // Markdown content + createdAt: Date; + updatedAt: Date; +} + +export interface LearningPath { + id: string; + name: string; + description: string; + targetAudience: string; + pathItems: PathItem[]; + createdAt: Date; + updatedAt: Date; +} + +export interface PathItem { + id: string; + pathId: string; + courseId: string; + chapterId?: string; + order: number; + type: 'course' | 'chapter'; +} + +export interface UserProgress { + id: string; + userId: string; + courseId: string; + chapterId?: string; + completed: boolean; + lastAccessed: Date; + createdAt: Date; + updatedAt: Date; +} + +export enum CourseCategory { + ML_BASICS = 'ML_BASICS', + DEEP_LEARNING = 'DEEP_LEARNING', + NLP = 'NLP', + LLM = 'LLM', + AI_TOOLS = 'AI_TOOLS' +} + +export enum Difficulty { + BEGINNER = 'BEGINNER', + INTERMEDIATE = 'INTERMEDIATE', + ADVANCED = 'ADVANCED' +} + +// API Request/Response types +export interface GeneratePathRequest { + interests: CourseCategory[]; + currentLevel: Difficulty; +} + +export interface UpdateProgressRequest { + courseId: string; + chapterId?: string; + completed: boolean; +} diff --git a/shared/tsconfig.json b/shared/tsconfig.json new file mode 100644 index 0000000..17085d1 --- /dev/null +++ b/shared/tsconfig.json @@ -0,0 +1,17 @@ +{ + "compilerOptions": { + "target": "ES2020", + "module": "commonjs", + "lib": ["ES2020"], + "declaration": true, + "outDir": "./dist", + "rootDir": "./src", + "strict": true, + "esModuleInterop": true, + "skipLibCheck": true, + "forceConsistentCasingInFileNames": true, + "resolveJsonModule": true + }, + "include": ["src/**/*"], + "exclude": ["node_modules", "dist"] +}