diff --git a/.github/workflows/publish-npm.yml b/.github/workflows/publish-npm.yml new file mode 100644 index 0000000..2eb9238 --- /dev/null +++ b/.github/workflows/publish-npm.yml @@ -0,0 +1,26 @@ +name: Publish Package to npmjs + +on: + workflow_dispatch: + +jobs: + build: + runs-on: ubuntu-24.04 + permissions: + id-token: write + contents: read + steps: + - uses: actions/checkout@v4 + - uses: pnpm/action-setup@v3 + with: + version: 9.15.9 + - uses: actions/setup-node@v4 + with: + node-version: '20.x' + registry-url: 'https://registry.npmjs.org' + - run: | + pnpm i + cd packages/pdf2md && pnpm build && pnpm publish + cd ../mcp && pnpm build && pnpm publish + env: + NODE_AUTH_TOKEN: ${{ secrets.NPM_TOKEN }} diff --git a/.gitignore b/.gitignore index 995b14b..4e5a7d7 100644 --- a/.gitignore +++ b/.gitignore @@ -1,7 +1,5 @@ -/node_modules -/test/samples -/test/output -/test/results -/test/imahes -/test/tt.js -/test/mm.js \ No newline at end of file +**/node_modules +**/dist +.vscode/mcp.json +samples +packages/mcp/output diff --git a/.prettierrc b/.prettierrc new file mode 100644 index 0000000..51fb693 --- /dev/null +++ b/.prettierrc @@ -0,0 +1,5 @@ +{ + "printWidth": 160, + "singleQuote": true, + "endOfLine": "lf" +} diff --git a/README.md b/README.md index 36a52cb..a364a57 100644 --- a/README.md +++ b/README.md @@ -1,7 +1,7 @@ # PDF2MD Node.js

- Node.js Version + Node.js Version License

@@ -20,17 +20,15 @@ A powerful Node.js tool for converting PDF documents to Markdown format using ad ## 🚀 Installation ```bash -# Clone the repository -git clone https://github.com/yourusername/pdf2md.git -cd pdf2md/pdf2md-node - # Install dependencies -npm install +pnpm add pdf2md-js +# or +npm add pdf2md-js ``` ## 📋 Requirements -- Node.js 16.0.0 or higher +- Node.js 20.0.0 or higher - API key for at least one of the supported vision models ## 🔧 Usage @@ -38,7 +36,7 @@ npm install ### Basic Usage ```javascript -import { parsePdf } from './src/index.js'; +import { parsePdf } from 'pdf2md-js'; const result = await parsePdf('path/to/your.pdf', { apiKey: 'your-api-key', @@ -107,19 +105,19 @@ The project includes several test scripts to verify functionality: ```bash # Test the full PDF to Markdown conversion process -node test/testFullProcess.js +pnpm vite-node test/testFullProcess.js # Test only the PDF to image conversion -node test/testFullPageImages.js +pnpm vite-node test/testFullPageImages.js # Test specific vision models -node test/testModel.js +pnpm vite-node test/testModel.js ``` ## 📁 Project Structure ``` -pdf2md-node/ +pdf2md-js/ ├── src/ │ ├── index.js # Main entry point │ ├── pdfParser.js # PDF parsing module diff --git a/README.zh-CN.md b/README.zh-CN.md index f70b117..703c65e 100644 --- a/README.zh-CN.md +++ b/README.zh-CN.md @@ -1,7 +1,7 @@ # PDF2MD Node.js

- Node.js 版本 + Node.js 版本 许可证

@@ -18,17 +18,15 @@ ## 🚀 安装 ```bash -# 克隆仓库 -git clone https://github.com/yourusername/pdf2md.git -cd pdf2md/pdf2md-node - -# 安装依赖 -npm install +# Install dependencies +pnpm add pdf2md-js +# or +npm add pdf2md-js ``` ## 📋 系统要求 -- Node.js 16.0.0 或更高版本 +- Node.js 20.0.0 或更高版本 - 至少一个支持的视觉模型的API密钥 ## 🔧 使用方法 @@ -36,7 +34,7 @@ npm install ### 基本用法 ```javascript -import { parsePdf } from './src/index.js'; +import { parsePdf } from 'pdf2md-js'; const result = await parsePdf('path/to/your.pdf', { apiKey: 'your-api-key', @@ -106,19 +104,19 @@ const result = await parsePdf('path/to/your.pdf', options); ```bash # 测试完整的PDF到Markdown转换流程 -node test/testFullProcess.js +pnpm vite-node test/testFullProcess.js # 仅测试PDF到图像的转换 -node test/testFullPageImages.js +pnpm vite-node test/testFullPageImages.js # 测试特定视觉模型 -node test/testModel.js +pnpm vite-node test/testModel.js ``` ## 📁 项目结构 ``` -pdf2md-node/ +pdf2md-js/ ├── src/ │ ├── index.js # 主入口点 │ ├── pdfParser.js # PDF解析模块 diff --git a/package-lock.json b/package-lock.json deleted file mode 100644 index 5a6a7d3..0000000 --- a/package-lock.json +++ /dev/null @@ -1,3563 +0,0 @@ -{ - 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"ocr" - ], - "author": "", "license": "MIT", - "dependencies": { - "@turf/turf": "^6.5.0", - "canvas": "^2.11.2", - "fs-extra": "^11.1.1", - "openai": "^4.28.0", - "pdf-lib": "^1.17.1", - "pdf-parse": "^1.1.1", - "pdf.js-extract": "^0.2.1", - "pdfjs-dist": "^3.11.174", - "sharp": "^0.33.1" + "packageManager": "pnpm@9.15.9+sha512.68046141893c66fad01c079231128e9afb89ef87e2691d69e4d40eee228988295fd4682181bae55b58418c3a253bde65a505ec7c5f9403ece5cc3cd37dcf2531", + "devDependencies": { + "@rslib/core": "^0.6.4", + "@types/node": "^22.14.1", + "prettier": "^3.5.3", + "typescript": "^5.8.3" } -} \ No newline at end of file +} diff --git a/packages/mcp/package.json b/packages/mcp/package.json new file mode 100644 index 0000000..86f2ee3 --- /dev/null +++ b/packages/mcp/package.json @@ -0,0 +1,28 @@ +{ + "name": "@tiny-tool/pdf2md-mcp", + "version": "2.0.0", + "bin": "dist/index.js", + "repository": { + "url": "https://github.com/tiny-tool/pdf2md" + }, + "scripts": { + "build": "rslib build", + "build:watch": "rslib build --watch" + }, + "author": "muzea ", + "license": "MIT", + "dependencies": { + "@modelcontextprotocol/sdk": "^1.9.0", + "@tiny-tool/pdf2md": "workspace:*", + "express": "^5.1.0", + "zod": "^3.24.3", + "zod-to-json-schema": "^3.24.5" + }, + "devDependencies": { + "@types/express": "^5.0.1" + }, + "publishConfig": { + "access": "public", + "provenance": true + } +} diff --git a/packages/mcp/rslib.config.ts b/packages/mcp/rslib.config.ts new file mode 100644 index 0000000..0cc25e1 --- /dev/null +++ b/packages/mcp/rslib.config.ts @@ -0,0 +1,15 @@ +import { defineConfig } from '@rslib/core'; + +export default defineConfig({ + lib: [ + { + syntax: ['node 20'], + format: 'cjs', + }, + ], + source: { + entry: { + index: './src/index.ts', + }, + }, +}); diff --git a/packages/mcp/src/index.ts b/packages/mcp/src/index.ts new file mode 100644 index 0000000..d5b7251 --- /dev/null +++ b/packages/mcp/src/index.ts @@ -0,0 +1,153 @@ +#!/usr/bin/env node + +import { Server } from '@modelcontextprotocol/sdk/server/index.js'; +import { SSEServerTransport } from '@modelcontextprotocol/sdk/server/sse.js'; +import { CallToolRequestSchema, ListToolsRequestSchema, ToolSchema } from '@modelcontextprotocol/sdk/types.js'; +import { z } from 'zod'; +import { zodToJsonSchema } from 'zod-to-json-schema'; +import express from 'express'; +import fs from 'node:fs/promises'; +import { parsePdf } from '@tiny-tool/pdf2md'; + +/** + * Reads a file from the specified path. + * + * + * @TODO read file from various protocols, such as http, https, ftp, etc. + * @param filePath + * @returns The content of the file as a Buffer. + */ +async function readFile(filePath: string) { + try { + const data = await fs.readFile(filePath); + return data; + } catch (error) { + console.error(`Error reading file ${filePath}:`, error); + throw error; + } +} + +// Server setup +const server = new Server( + { + name: '@tiny-tool/pdf2md-mcp', + version: '2.0.0', + }, + { + capabilities: { + tools: {}, + }, + }, +); + +const ToolInputSchema = ToolSchema.shape.inputSchema; +type ToolInput = z.infer; + +const ConvertSchema = z.object({ + file_path: z.string(), +}); + +// Tool handlers +server.setRequestHandler(ListToolsRequestSchema, async () => { + return { + tools: [ + { + name: 'pdf2md', + description: 'Convert PDF files to Markdown format, extract text content from the document', + inputSchema: zodToJsonSchema(ConvertSchema) as ToolInput, + }, + ], + }; +}); + +server.setRequestHandler(CallToolRequestSchema, async (request) => { + try { + const { name, arguments: args } = request.params; + + switch (name) { + case 'pdf2md': { + const parsed = ConvertSchema.safeParse(args); + if (!parsed.success) { + throw new Error(`Invalid arguments for pdf2md: ${parsed.error}`); + } + + console.log('pdf2md called with args:', parsed.data); + + // const parsedResult = await parsePdf( + // parsed.data.file_path, + // { + // apiKey: '', + // baseURL: 'https://dashscope.aliyuncs.com/compatible-mode/v1/', + // model: 'qwen2.5-vl-72b-instruct', + // }, + // { scale: 2, concurrency: 1 }, + // ); + const parsedResult = await parsePdf( + parsed.data.file_path, + { + baseURL: 'http://localhost:11434/v1/', + model: 'gemma3:12b', + }, + { scale: 1, concurrency: 1 }, + ); + return { + content: [{ type: 'text', text: parsedResult.content }], + }; + } + + default: + throw new Error(`Unknown tool: ${name}`); + } + } catch (error) { + const errorMessage = error instanceof Error ? error.message : String(error); + return { + content: [{ type: 'text', text: `Error: ${errorMessage}` }], + isError: true, + }; + } +}); + +const connections = new Map(); + +const app = express(); +app.get('/sse', async (req, res) => { + const transport = new SSEServerTransport('/messages', res); + + const sessionId = transport.sessionId; + console.log(`[${new Date().toISOString()}] 新的SSE连接建立: ${sessionId}`); + connections.set(sessionId, transport); + + req.on('close', () => { + console.log(`[${new Date().toISOString()}] SSE连接关闭: ${sessionId}`); + connections.delete(sessionId); + }); + + // 将传输对象与MCP服务器连接 + await server.connect(transport); + console.log(`[${new Date().toISOString()}] MCP服务器连接成功: ${sessionId}`); +}); + +app.post('/messages', async (req, res) => { + try { + console.log(`[${new Date().toISOString()}] 收到客户端消息:`, req.query); + const sessionId = req.query.sessionId as string; + + // 查找对应的SSE连接并处理消息 + if (connections.size > 0) { + const transport: SSEServerTransport = connections.get(sessionId) as SSEServerTransport; + // 使用transport处理消息 + if (transport) { + await transport.handlePostMessage(req, res); + } else { + throw new Error('没有活跃的SSE连接'); + } + } else { + throw new Error('没有活跃的SSE连接'); + } + } catch (error: any) { + console.error(`[${new Date().toISOString()}] 处理客户端消息失败:`, error); + res.status(500).json({ error: '处理消息失败', message: error.message }); + } +}); + +app.listen(3002); diff --git a/packages/mcp/tsconfig.json b/packages/mcp/tsconfig.json new file mode 100644 index 0000000..276fda8 --- /dev/null +++ b/packages/mcp/tsconfig.json @@ -0,0 +1,17 @@ +{ + "compilerOptions": { + "target": "ES2020", + "lib": ["DOM", "ES2020"], + "module": "NodeNext", + "strict": true, + "noEmit": true, + "moduleResolution": "nodenext", + "skipLibCheck": true, + "isolatedModules": true, + "useDefineForClassFields": true, + "allowImportingTsExtensions": true, + "allowSyntheticDefaultImports": true, + "allowJs": true + }, + "include": ["src"] +} diff --git a/packages/pdf2md/package.json b/packages/pdf2md/package.json new file mode 100644 index 0000000..4854a85 --- /dev/null +++ b/packages/pdf2md/package.json @@ -0,0 +1,50 @@ +{ + "name": "@tiny-tool/pdf2md", + "version": "2.0.0", + "repository": { + "url": "https://github.com/tiny-tool/pdf2md" + }, + "description": "Convert PDF to Markdown using Node.js", + "main": "./dist/index.js", + "module": "./dist/index.mjs", + "types": "./dist/index.d.ts", + "exports": { + ".": { + "require": "./dist/index.js", + "import": "./dist/index.mjs", + "types": "./dist/index.d.ts" + } + }, + "scripts": { + "build": "rslib build", + "build:watch": "rslib build --watch" + }, + "keywords": [ + "pdf", + "markdown", + "converter", + "ocr" + ], + "author": "muzea ", + "license": "MIT", + "dependencies": { + "@napi-rs/canvas": "^0.1.69", + "@xsai/generate-text": "0.2.0-beta.3", + "fs-extra": "^11.3.0", + "pdfjs-dist": "^5.1.91" + }, + "devDependencies": { + "@types/fs-extra": "^11.0.4", + "@xsai/shared-chat": "0.2.0-beta.3" + }, + "engines": { + "node": ">=20" + }, + "files": [ + "dist/*" + ], + "publishConfig": { + "access": "public", + "provenance": true + } +} diff --git a/packages/pdf2md/rslib.config.ts b/packages/pdf2md/rslib.config.ts new file mode 100644 index 0000000..88a4cfa --- /dev/null +++ b/packages/pdf2md/rslib.config.ts @@ -0,0 +1,20 @@ +import { defineConfig } from '@rslib/core'; + +export default defineConfig({ + lib: [ + { + syntax: ['node 20'], + format: 'cjs', + }, + { + syntax: ['node 20'], + format: 'esm', + dts: true, + }, + ], + source: { + entry: { + index: './src/index.ts', + }, + }, +}); diff --git a/packages/pdf2md/src/const.ts b/packages/pdf2md/src/const.ts new file mode 100644 index 0000000..3546aee --- /dev/null +++ b/packages/pdf2md/src/const.ts @@ -0,0 +1,59 @@ +export const DefaultPrompt = `使用markdown语法，将图片中识别到的文字转换为markdown格式输出。你必须做到： +1. 输出和使用识别到的图片的相同的语言，例如，识别到英语的字段，输出的内容必须是英语。 +2. 不要解释和输出无关的文字，直接输出图片中的内容。 +3. 内容不要包含在\`\`\`markdown \`\`\`中、段落公式使用 $$ $$ 的形式、行内公式使用 $ $ 的形式。 +4. 忽略掉页眉页脚里的内容 +5. 请不要对图片的标题进行markdown的格式化，直接以文本形式输出到内容中。 +6. 有可能每页都会出现期刊名称，论文名称，会议名称或者书籍名称，请忽略他们不要识别成标题 +7. 请精确分析当前PDF页面的文本结构和视觉布局，按以下要求处理： + 1. 识别所有标题文本，并判断其层级（根据字体大小、加粗、位置等视觉特征） + 2. 输出为带层级的Markdown格式，严格使用以下规则： + - 一级标题：字体最大/顶部居中，前面加 # + - 二级标题：字体较大/左对齐加粗，有可能是数字开头也有可能是罗马数组开头，前面加 ## + - 三级标题：字体稍大/左对齐加粗，前面加 ### + - 正文文本：直接转换为普通段落 + 3. 不确定层级的标题请标记[?] + 4. 如果是中文文献，但是有英文标题和摘要可以省略不输出 + + +示例输出： + +## 4研究方法 +### 4.1数据收集 +本文采用问卷调查... +`; + +export const DefaultTextPrompt = `你是一个专业的文本结构化处理助手，擅长根据前缀规则和标题语义分析并优化Markdown文档的标题层级结构。请根据以下要求处理我提供的Markdown标题： +## 任务描述 +请根据markdown文章标题的实际含义，以及标题的前缀特征调整各级标题的正确层级关系，具体要求如下： +1. 一般相同格式的前缀的标题是同级关系({title}代表实际的标题内容)： + 例如： + 纯数字前缀开头\`1 {title}\`， \` 2 {title}\` ，\` 3 {title}\`，\` 4 {title}\`，\` 5 {title}\` ... 等 + 罗马数字前缀开头的\`I {title}\`，\`II {title}\` ，\`III {title}\`，\`IV {title}\`，\`V {title}\` ... 等 + 小数点分隔数组前缀开头 \`1.1 {title}\`, \`1.2 {title}\`, \`1.3 {title}\`.... \`2.1 {title}\`, \`2.2 {title}\` 等 +2. 将子标题正确嵌套到父标题下（如\`1.1 {title}\`应作为\`1 {title}\`的子标题） +3. 剔除与文章内容无关的标题 +4. 保持输出标题内容与输入完全一致 +5. 确保内容无缺失 +6. 如果是中文文献，但有英文的文章题目，可以省略 + +## 输入输出格式 +- 输入：包含错误层级关系的markdown标题结构 +- 输出：修正后的标准markdown标题层级结构 + +## 处理原则 +1. 严格根据标题语义确定所属关系 +2. 仅调整层级不修改原标题文本 +3. 无关标题直接移除不保留占位 +4. 相同前缀规则的标题必须是同一级别，不能出现 一部分是 n级标题，一部分是其他级别的标题 + +## 输出要求 +请将修正后的完整标题结构放在代码块中返回，格式示例如下： + +期望输出： + \`\`\`markdown + + \`\`\` + +请处理以下数据： +`; diff --git a/packages/pdf2md/src/image-generator.ts b/packages/pdf2md/src/image-generator.ts new file mode 100644 index 0000000..1662880 --- /dev/null +++ b/packages/pdf2md/src/image-generator.ts @@ -0,0 +1,71 @@ +/** + * 图像生成模块，负责将PDF区域转换为图像 + */ +import { getDocument } from 'pdfjs-dist/legacy/build/pdf.mjs'; +import type { PageViewport } from 'pdfjs-dist/types/src/display/display_utils.d.ts'; +import type { PDFPageProxy, PDFDocumentProxy } from 'pdfjs-dist/types/src/display/api.d.ts'; +import fs from 'fs-extra'; +import { createCanvas, Canvas } from '@napi-rs/canvas'; + +// 定义一些类型 +export type PageImage = { index: number; data: Buffer }; + +/** + * 直接生成PDF文档的所有页面图像，不依赖区域识别 + * @param pdfData PDF文件数据或路径 + * @param outputDir 输出目录 + * @param scale 缩放比例 + * @returns 生成的图像文件路径数组 + */ +export const generateFullPageImages = async (pdfData: Buffer | string, outputDir: string, scale: number = 3): Promise => { + // 确保输出目录存在 + await fs.ensureDir(outputDir); + + // 如果pdfData是字符串，则当作路径处理 + let data: Uint8Array; + if (typeof pdfData === 'string') { + data = new Uint8Array(await fs.readFile(pdfData)); + } else { + data = new Uint8Array(pdfData); + } + + // 加载PDF文档 + const pdfDocument: PDFDocumentProxy = await getDocument({ data }).promise; + const numPages = pdfDocument.numPages; + console.log(`PDF文档共 ${numPages} 页`); + + // 存储生成的图像路径 + const pageImages: PageImage[] = []; + + // 处理每一页 + for (let i = 0; i < numPages; i++) { + const pageIndex = i + 1; + console.log(`处理第 ${pageIndex} 页...`); + + // 获取页面 + const page: PDFPageProxy = await pdfDocument.getPage(pageIndex); + const viewport: PageViewport = page.getViewport({ scale }); + + // 创建canvas + const canvas: Canvas = createCanvas(viewport.width, viewport.height); + const context = canvas.getContext('2d') as any as CanvasRenderingContext2D; + + // 填充白色背景 + context.fillStyle = '#ffffff'; + context.fillRect(0, 0, viewport.width, viewport.height); + + // 渲染页面 + await page.render({ + canvasContext: context, + viewport: viewport, + }).promise; + + // 将canvas转换为图像并保存 + const buffer = canvas.toBuffer('image/png'); + + // 添加到结果数组 + pageImages.push({ index: pageIndex, data: buffer }); + } + + return pageImages; +}; diff --git a/packages/pdf2md/src/index.ts b/packages/pdf2md/src/index.ts new file mode 100644 index 0000000..50eab0e --- /dev/null +++ b/packages/pdf2md/src/index.ts @@ -0,0 +1,186 @@ +/** + * PDF2MD 主入口模块 + * 提供PDF转Markdown的完整功能 + */ +import fs from 'fs-extra'; +import path from 'path'; +import { generateFullPageImages, PageImage } from './image-generator'; +import { extractMdFromLLMOutput, adjustMarkdownHeadings, getOldMarkdownHeadings } from './utils'; +import ModelClient, { ModelConfig } from './model-client'; +import { DefaultPrompt, DefaultTextPrompt } from './const'; + +interface ParseOptions { + outputDir?: string; + prompt?: string; + textPrompt?: string; + verbose?: boolean; + scale?: number; + concurrency?: number; + onProgress?: (progress: ProgressInfo) => void; +} + +interface ProgressInfo { + current: number; + total: number; + taskStatus: 'starting' | 'running' | 'finished'; +} + +interface PageContent { + pageIndex: number; + content: string; +} + +interface ParseResult { + content: string; + mdFilePath: string; +} + +/** + * 将PDF文件解析为Markdown + */ +export const parsePdf = async (pdfPath: string, modelConfig: ModelConfig = {}, options: ParseOptions = {}): Promise => { + const { outputDir = './output', prompt = DefaultPrompt, textPrompt = DefaultTextPrompt, verbose = false, scale = 3, concurrency = 2, onProgress } = options; + + // 确保输出目录存在 + await fs.ensureDir(outputDir); + + console.log('开始解析PDF文件(全页模式):', pdfPath); + + try { + // 第一步：生成全页图像 + console.log('生成全页图像...'); + const imageOutputDir = path.join(outputDir, 'pages'); + await fs.ensureDir(imageOutputDir); + + const imageFiles = await generateFullPageImages(pdfPath, imageOutputDir, scale); + + //先把总页数传递回调用方法 + if (onProgress) { + onProgress({ + current: 0, + total: imageFiles.length, + taskStatus: 'starting', + }); + } + + // 第二步：使用视觉模型处理每个页面图像 + console.log('处理全页图像...'); + + // 创建模型客户端 + const modelClient = new ModelClient(modelConfig); + + const pageContents: PageContent[] = []; + const processImages = async (item: PageImage) => { + console.log(`处理页面 ${item.index}/${imageFiles.length}`); + try { + // 处理图像 - 确保传入有效的prompt + const defaultPrompt = '请将图像中的所有文本内容转换为Markdown格式，包括标题、段落、列表和表格等。'; + const pageContent = await modelClient.processImage(item.data, prompt || defaultPrompt); + + if (true) { + await fs.writeFile(`${imageOutputDir}/page_${item.index}.md`, pageContent, { encoding: 'utf8' }); + } + + // 添加页面内容 + pageContents.push({ + pageIndex: item.index, + content: pageContent, + }); + // 处理完成后，更新调用者的信息 + if (onProgress) { + onProgress({ + current: pageContents.length, + total: imageFiles.length, + taskStatus: 'running', + }); + } + return { success: true, item, data: pageContent }; + } catch (error) { + console.error('Markdown 转换失败:', error); + return { success: false, item, error: (error as Error).message }; + } + }; + + // 并行处理所有问题，最多同时处理concurrency个 + await processInParallel(imageFiles, processImages, concurrency); + + //并行处理生成结果是乱序的，根据pageIndex进行排序再输出Markdown + pageContents.sort((a, b) => a.pageIndex - b.pageIndex); + + // 第三步：生成Markdown文件 + console.log('生成Markdown文档...'); + + // 生成Markdown内容 + let content = ''; + for (const page of pageContents) { + content += page.content + '\n'; + } + + console.log('正在重新调整目录...'); + + // 提取转换后的标题 + const title = await getOldMarkdownHeadings(content); + + //使用大模型重新调整目录结构 + const defaultPrompt = '请将图像中的所有文本内容转换为Markdown格式，包括标题、段落、列表和表格等。'; + const convertedTitleLLMResult = await modelClient.processImage(null, textPrompt + JSON.stringify(title) || defaultPrompt); + const convertedTitle = await extractMdFromLLMOutput(convertedTitleLLMResult); + + //根据调整后的结果重新生成md文件 + const convertContent = await adjustMarkdownHeadings(content, convertedTitle || ''); + + console.log('目录调整完成...'); + + // 第四步：保存Markdown文件 + const mdFilePath = path.join(outputDir, path.basename(pdfPath, '.pdf') + '.md'); + await fs.writeFile(mdFilePath, convertContent); + console.log('Markdown文件已保存至:', mdFilePath); + + // 将任务执行结束传递回调用方法 + if (onProgress) { + onProgress({ + current: imageFiles.length, + total: imageFiles.length, + taskStatus: 'finished', + }); + } + + return { + content, + mdFilePath, + }; + } catch (error) { + console.error('PDF解析过程中发生错误:', error); + throw error; + } +}; + +// 定义并行处理的辅助函数类型 +type ProcessFunction = (item: T) => Promise; + +// 并行处理数组的辅助函数，限制并发数 +const processInParallel = async (items: T[], processFunction: ProcessFunction, concurrencyLimit: number): Promise => { + const results: Promise[] = []; + const inProgress = new Set>(); + const queue = [...items]; + + while (queue.length > 0 || inProgress.size > 0) { + // 如果有空闲槽位且队列中还有任务，启动新任务 + while (inProgress.size < concurrencyLimit && queue.length > 0) { + const item = queue.shift()!; + const promise = processFunction(item).then((result) => { + inProgress.delete(promise); + return result; + }); + inProgress.add(promise); + results.push(promise); + } + + // 等待其中一个任务完成 + if (inProgress.size > 0) { + await Promise.race(inProgress); + } + } + + return Promise.all(results); +}; diff --git a/packages/pdf2md/src/model-client.ts b/packages/pdf2md/src/model-client.ts new file mode 100644 index 0000000..b82c4ef --- /dev/null +++ b/packages/pdf2md/src/model-client.ts @@ -0,0 +1,105 @@ +/** + * 模型客户端模块，用于处理不同视觉模型的API调用 + */ +import { generateText } from '@xsai/generate-text'; +import type { UserMessagePart } from '@xsai/shared-chat'; + +// 默认角色提示词（中文版） +const DEFAULT_ROLE_PROMPT = `你是一个PDF文档解析器，使用markdown和latex语法输出图片的内容。`; + +/** + * 模型配置接口 + */ +export interface ModelConfig { + apiKey?: string; + baseURL?: string; + model?: string; +} + +/** + * 处理图像选项接口 + */ +interface ProcessImageOptions extends ModelConfig { + rolePrompt?: string; +} + +/** + * 模型客户端类，处理与不同视觉模型的交互 + */ +export class ModelClient { + private config: ModelConfig; + + /** + * 创建模型客户端实例 + */ + constructor(config: ModelConfig) { + this.config = { + baseURL: 'http://localhost:11434/v1/', + model: 'gemma3:12b', + ...config, + }; + } + + /** + * 处理图像并转换为Markdown文本 + */ + async processImage(imageData: Buffer | null, prompt: string, options: ProcessImageOptions = {}): Promise { + const { rolePrompt = DEFAULT_ROLE_PROMPT } = options; + + // 读取图像文件 + let base64Image: string | null = null; + if (imageData) { + base64Image = imageData.toString('base64'); + } + + const modelConfig: ModelConfig = { + apiKey: options.apiKey || this.config.apiKey, + baseURL: options.baseURL || this.config.baseURL, + model: options.model || this.config.model, + }; + + return this.callLLM(rolePrompt, prompt, base64Image, modelConfig); + } + + /** + * 通过API调用OpenAI视觉模型 + * @private + */ + private async callLLM(rolePrompt: string, prompt: string, base64Image: string | null, modelConfig: ModelConfig): Promise { + // 使用OpenAI API + const baseURL = modelConfig.baseURL || 'https://api.openai.com/v1/'; + + // 构建用户消息内容 + const userContent: Array = [{ type: 'text', text: prompt }]; + + // 如果有base64图片，添加图片内容 + if (base64Image) { + userContent.push({ + type: 'image_url', + image_url: { + url: `data:image/png;base64,${base64Image}`, + }, + }); + } + + const { text } = await generateText({ + apiKey: modelConfig.apiKey!, + baseURL: baseURL, + messages: [ + { + role: 'system', + content: rolePrompt, + }, + { + role: 'user', + content: userContent, + }, + ], + model: modelConfig.model!, + }); + + return text || ''; + } +} + +export default ModelClient; diff --git a/packages/pdf2md/src/utils.ts b/packages/pdf2md/src/utils.ts new file mode 100644 index 0000000..7d6f9d7 --- /dev/null +++ b/packages/pdf2md/src/utils.ts @@ -0,0 +1,85 @@ +/** + * 工具函数模块，提供常用的辅助功能 + */ +import fs from 'fs-extra'; + +/** + * 删除文件 + * @param filePath 文件路径 + */ +export const removeFile = async (filePath: string): Promise => { + try { + await fs.remove(filePath); + } catch (error: any) { + console.error(`删除文件 ${filePath} 失败:`, error); + } +}; + +// 从 LLM 输出中提取标题 +export const extractMdFromLLMOutput = (output: string): string | undefined => { + const mdStart = output.indexOf('```markdown'); + const mdEnd = output.lastIndexOf('```'); + if (mdStart !== -1 && mdEnd !== -1) { + const mdString = output.substring(mdStart + 12, mdEnd); + return mdString; + } else { + console.error('模型未按标准格式输出:', output); + return undefined; + } +}; + +//获取优化前的 markdwon 标题 +export const getOldMarkdownHeadings = (markdownText: string): string => { + const title: string[] = []; + const lines = markdownText.split('\n'); + lines.forEach((line) => { + // 匹配 # 开头，并捕获后面的内容 + const match = line.match(/^#+\s*(.*)/); + if (match) { + title.push(line); + } + }); + return title.join('\n'); +}; + +//根据新生成的标题结构，重新设置原文章中标题级别 +export const adjustMarkdownHeadings = (markdownText: string, newTitle: string): string => { + const map = createTitleLevelMap(newTitle); + const lines = markdownText.split('\n'); + const processedLines: string[] = []; + lines.forEach((line) => { + // 匹配 # 开头，并捕获后面的内容 + const match = line.match(/^#+\s*(.*)/); + if (!match) { + processedLines.push(line); + return; + } + const content = match ? match[1] : line; + // 检查 content 是否在 map 中存在 + let newLine = line; + if (map.has(content)) { + const level = map.get(content); + // 生成对应数量的 #（例如 level=2 -> "##"） + const hashes = '#'.repeat(level!); + newLine = `${hashes} ${content}`; + console.log('转换前：' + line + '===>转换后' + newLine); + } + processedLines.push(newLine); + }); + return processedLines.join('\n'); +}; + +//根据标题#数量，建立内容和数量的map映射 +function createTitleLevelMap(data: string, map: Map = new Map()): Map { + const lines = data.split('\n'); + for (const line of lines) { + // 匹配以#开头的标题行 + const headerMatch = line.match(/^(#+)\s*(.+)/); + if (headerMatch) { + const level = headerMatch[1].length; // #号的数量 + const text = headerMatch[2].trim(); // #号后的文本内容 + map.set(text, level); + } + } + return map; +} diff --git a/packages/pdf2md/tsconfig.json b/packages/pdf2md/tsconfig.json new file mode 100644 index 0000000..276fda8 --- /dev/null +++ b/packages/pdf2md/tsconfig.json @@ -0,0 +1,17 @@ +{ + "compilerOptions": { + "target": "ES2020", + "lib": ["DOM", "ES2020"], + "module": "NodeNext", + "strict": true, + "noEmit": true, + "moduleResolution": "nodenext", + "skipLibCheck": true, + "isolatedModules": true, + "useDefineForClassFields": true, + "allowImportingTsExtensions": true, + "allowSyntheticDefaultImports": true, + "allowJs": true + }, + "include": ["src"] +} diff --git a/pnpm-lock.yaml b/pnpm-lock.yaml new file mode 100644 index 0000000..64bf668 --- /dev/null +++ b/pnpm-lock.yaml @@ -0,0 +1,1438 @@ +lockfileVersion: '9.0' + +settings: + autoInstallPeers: true + excludeLinksFromLockfile: false + +importers: + + .: + devDependencies: + '@rslib/core': + specifier: ^0.6.4 + version: 0.6.4(typescript@5.8.3) + '@types/node': + specifier: ^22.14.1 + version: 22.14.1 + prettier: + specifier: ^3.5.3 + version: 3.5.3 + typescript: + specifier: ^5.8.3 + version: 5.8.3 + + packages/mcp: + 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inherits: 2.0.4 + setprototypeof: 1.2.0 + statuses: 2.0.1 + toidentifier: 1.0.1 + + iconv-lite@0.6.3: + dependencies: + safer-buffer: 2.1.2 + + inherits@2.0.4: {} + + ipaddr.js@1.9.1: {} + + is-promise@4.0.0: {} + + isexe@2.0.0: {} + + jiti@2.4.2: {} + + json5@2.2.3: {} + + jsonfile@6.1.0: + dependencies: + universalify: 2.0.1 + optionalDependencies: + graceful-fs: 4.2.11 + + magic-string@0.30.17: + dependencies: + '@jridgewell/sourcemap-codec': 1.5.0 + + math-intrinsics@1.1.0: {} + + media-typer@1.1.0: {} + + merge-descriptors@2.0.0: {} + + mime-db@1.54.0: {} + + mime-types@3.0.1: + dependencies: + mime-db: 1.54.0 + + minimist@1.2.8: {} + + ms@2.1.3: {} + + negotiator@1.0.0: {} + + object-assign@4.1.1: {} + + object-inspect@1.13.4: {} + + on-finished@2.4.1: + dependencies: + ee-first: 1.1.1 + + once@1.4.0: + dependencies: + wrappy: 1.0.2 + + parseurl@1.3.3: {} + + path-key@3.1.1: {} + + path-to-regexp@8.2.0: {} + + pdfjs-dist@5.1.91: + optionalDependencies: + '@napi-rs/canvas': 0.1.69 + + picocolors@1.1.1: {} + + picomatch@4.0.2: {} + + pkce-challenge@5.0.0: {} + + prettier@3.5.3: {} + + proxy-addr@2.0.7: + dependencies: + forwarded: 0.2.0 + ipaddr.js: 1.9.1 + + qs@6.14.0: + dependencies: + side-channel: 1.1.0 + + range-parser@1.2.1: {} + + raw-body@3.0.0: + dependencies: + bytes: 3.1.2 + http-errors: 2.0.0 + iconv-lite: 0.6.3 + unpipe: 1.0.0 + + router@2.2.0: + dependencies: + debug: 4.4.0 + depd: 2.0.0 + is-promise: 4.0.0 + parseurl: 1.3.3 + path-to-regexp: 8.2.0 + transitivePeerDependencies: + - supports-color + + rsbuild-plugin-dts@0.6.4(@rsbuild/core@1.3.8)(typescript@5.8.3): + dependencies: + '@ast-grep/napi': 0.37.0 + '@rsbuild/core': 1.3.8 + magic-string: 0.30.17 + picocolors: 1.1.1 + tinyglobby: 0.2.12 + tsconfig-paths: 4.2.0 + optionalDependencies: + typescript: 5.8.3 + + safe-buffer@5.2.1: {} + + safer-buffer@2.1.2: {} + + send@1.2.0: + dependencies: + debug: 4.4.0 + encodeurl: 2.0.0 + escape-html: 1.0.3 + etag: 1.8.1 + fresh: 2.0.0 + http-errors: 2.0.0 + mime-types: 3.0.1 + ms: 2.1.3 + on-finished: 2.4.1 + range-parser: 1.2.1 + statuses: 2.0.1 + transitivePeerDependencies: + - supports-color + + serve-static@2.2.0: + dependencies: + encodeurl: 2.0.0 + escape-html: 1.0.3 + parseurl: 1.3.3 + send: 1.2.0 + transitivePeerDependencies: + - supports-color + + setprototypeof@1.2.0: {} + + shebang-command@2.0.0: + dependencies: + shebang-regex: 3.0.0 + + shebang-regex@3.0.0: {} + + side-channel-list@1.0.0: + dependencies: + es-errors: 1.3.0 + object-inspect: 1.13.4 + + side-channel-map@1.0.1: + dependencies: + call-bound: 1.0.4 + es-errors: 1.3.0 + get-intrinsic: 1.3.0 + object-inspect: 1.13.4 + + side-channel-weakmap@1.0.2: + dependencies: + call-bound: 1.0.4 + es-errors: 1.3.0 + get-intrinsic: 1.3.0 + object-inspect: 1.13.4 + side-channel-map: 1.0.1 + + side-channel@1.1.0: + dependencies: + es-errors: 1.3.0 + object-inspect: 1.13.4 + side-channel-list: 1.0.0 + side-channel-map: 1.0.1 + side-channel-weakmap: 1.0.2 + + statuses@2.0.1: {} + + strip-bom@3.0.0: {} + + tinyglobby@0.2.12: + dependencies: + fdir: 6.4.3(picomatch@4.0.2) + picomatch: 4.0.2 + + toidentifier@1.0.1: {} + + tsconfig-paths@4.2.0: + dependencies: + json5: 2.2.3 + minimist: 1.2.8 + strip-bom: 3.0.0 + + tslib@2.8.1: {} + + type-is@2.0.1: + dependencies: + content-type: 1.0.5 + media-typer: 1.1.0 + mime-types: 3.0.1 + + typescript@5.8.3: {} + + undici-types@6.21.0: {} + + universalify@2.0.1: {} + + unpipe@1.0.0: {} + + vary@1.1.2: {} + + which@2.0.2: + dependencies: + isexe: 2.0.0 + + wrappy@1.0.2: {} + + zod-to-json-schema@3.24.5(zod@3.24.3): + dependencies: + zod: 3.24.3 + + zod@3.24.3: {} diff --git a/pnpm-workspace.yaml b/pnpm-workspace.yaml new file mode 100644 index 0000000..833a27f --- /dev/null +++ b/pnpm-workspace.yaml @@ -0,0 +1,2 @@ +packages: + - 'packages/*' diff --git a/src/imageGenerator.js b/src/imageGenerator.js deleted file mode 100644 index ab2b7ab..0000000 --- a/src/imageGenerator.js +++ /dev/null @@ -1,253 +0,0 @@ -/** - * 图像生成模块，负责将PDF区域转换为图像 - */ -import pkg from 'pdfjs-dist/legacy/build/pdf.js'; -const { getDocument } = pkg; -import sharp from 'sharp'; -import path from 'path'; -import fs from 'fs-extra'; -import { generateRandomFileName } from './utils.js'; -import { createCanvas } from 'canvas'; - -// 设置PDF.js的worker路径 -try { - // 获取当前文件的目录 - const currentDir = path.dirname(new URL(import.meta.url).pathname); - // 构建 worker 的绝对路径 - const pdfjsWorker = path.join(currentDir, '..', 'node_modules/pdfjs-dist/legacy/build/pdf.worker.js'); - const pdfjsWorkerUrl = new URL(`file://${pdfjsWorker}`).href; - - // 全局设置worker路径 - globalThis.pdfjsWorkerSrc = pdfjsWorkerUrl; - - console.log('设置PDF.js worker路径:', pdfjsWorkerUrl); -} catch (error) { - console.warn('设置PDF.js worker路径时出错:', error.message); -} - -/** - * 将PDF页面的指定区域渲染为图像 - * @param {Object} page PDF.js页面对象 - * @param {Array} rect 区域坐标 [x0, y0, x1, y1] - * @param {number} scale 渲染缩放比例 - * @returns {Buffer} 图像缓冲区 - */ -export const renderRectToImage = async (page, rect, scale = 4) => { - const viewport = page.getViewport({ scale }); - - // 计算渲染区域 - 添加内边距确保文本不被截断 - const [x0, y0, x1, y1] = rect; - - // 添加内边距（单位：原始坐标系下的点） - const padding = 20 / scale; // 添加相当20像素的填充 - - // 确保填充后的坐标不超出页面范围 - const paddedX0 = Math.max(0, x0 - padding); - const paddedY0 = Math.max(0, y0 - padding); - const paddedX1 = Math.min(viewport.width / scale, x1 + padding); - const paddedY1 = Math.min(viewport.height / scale, y1 + padding); - - // 计算最终宽度和高度 - const width = (paddedX1 - paddedX0) * scale; - const height = (paddedY1 - paddedY0) * scale; - - // 创建canvas - 使用Node.js版的canvas - const canvas = createCanvas(width, height); - const context = canvas.getContext('2d'); - - // 填充背景色 - context.fillStyle = '#ffffff'; - context.fillRect(0, 0, width, height); - - // 设置渲染参数 - 使用填充后的坐标 - const renderContext = { - canvasContext: context, - viewport: viewport, - transform: [scale, 0, 0, scale, -paddedX0 * scale, -paddedY0 * scale] - }; - - // 渲染页面 - await page.render(renderContext).promise; - - // 获取图像数据 - 使用Node.js版的canvas - const pngData = canvas.toBuffer('image/png'); - - // 使用Sharp处理图像 - const buffer = await sharp(pngData).png().toBuffer(); - - return buffer; -}; - -/** - * 从PDF文件生成区域图像 - * @param {string} pdfPath PDF文件路径 - * @param {Array} pageRects 每个页面的区域信息 [{ pageIndex, rects }, ...] - * @param {string} outputDir 输出目录 - * @param {boolean} drawBoundingBoxes 是否绘制边界框 - * @returns {Array} 图像信息 [{ pageImage, rectImages }, ...] - */ -export const generateImagesFromPdf = async (pdfPath, pageRects, outputDir, drawBoundingBoxes = true) => { - // 确保输出目录存在 - await fs.ensureDir(outputDir); - - // 加载PDF文档 - const data = new Uint8Array(await fs.readFile(pdfPath)); - const pdfDocument = await getDocument({ data }).promise; - - const imageInfos = []; - - // 处理每一页 - for (const { pageIndex, rects } of pageRects) { - console.log(`生成页面 ${pageIndex + 1} 的图像`); - - // 获取页面 - const page = await pdfDocument.getPage(pageIndex + 1); - const viewport = page.getViewport({ scale: 1.0 }); - - // 用于存储区域图像文件名 - const rectImages = []; - - // 处理每个区域 - for (let i = 0; i < rects.length; i++) { - const rect = rects[i]; - // 生成区域图像 - const buffer = await renderRectToImage(page, rect); - - // 保存图像 - const imageName = `${pageIndex}_${i}.png`; - const imagePath = path.join(outputDir, imageName); - await fs.writeFile(imagePath, buffer); - - rectImages.push(imageName); - } - - // 如果需要绘制边界框，渲染整个页面并标记区域 - let pageImage = null; - if (drawBoundingBoxes) { - // 渲染整个页面 - 使用Node.js版的canvas - const scale = 3; - const canvas = createCanvas(viewport.width * scale, viewport.height * scale); - const context = canvas.getContext('2d'); - - // 填充白色背景 - context.fillStyle = '#ffffff'; - context.fillRect(0, 0, canvas.width, canvas.height); - - // 渲染页面 - await page.render({ - canvasContext: context, - viewport: page.getViewport({ scale }) - }).promise; - - // 绘制区域标记 - context.lineWidth = 1; - context.strokeStyle = 'red'; - context.fillStyle = 'white'; - - for (let i = 0; i < rects.length; i++) { - const [x0, y0, x1, y1] = rects[i]; - - // 绘制矩形 - context.strokeRect(x0 * scale, y0 * scale, (x1 - x0) * scale, (y1 - y0) * scale); - - // 绘制标签背景 - context.fillRect(x0 * scale + 2, y0 * scale + 2, 80, 12); - - // 绘制标签文本 - context.fillStyle = 'red'; - context.font = '10px Arial'; - context.fillText(`${pageIndex}_${i}`, x0 * scale + 5, y0 * scale + 12); - context.fillStyle = 'white'; - } - - // 保存页面图像 - const pageImageName = `${pageIndex}.png`; - const pageImagePath = path.join(outputDir, pageImageName); - - const pageBuffer = await sharp(canvas.toBuffer('image/png')).png().toBuffer(); - await fs.writeFile(pageImagePath, pageBuffer); - - pageImage = pageImageName; - } - - imageInfos.push({ - pageImage, - rectImages - }); - } - - return imageInfos; -}; - -/** - * 直接生成PDF文档的所有页面图像，不依赖区域识别 - * @param {Buffer|string} pdfData PDF文件数据或路径 - * @param {string} outputDir 输出目录 - * @param {number} scale 缩放比例 - * @returns {Promise>} 生成的图像文件路径数组 - */ -export const generateFullPageImages = async (pdfData, outputDir, scale = 3) => { - // 确保输出目录存在 - await fs.ensureDir(outputDir); - - // 如果pdfData是字符串，则当作路径处理 - let data; - if (typeof pdfData === 'string') { - data = new Uint8Array(await fs.readFile(pdfData)); - } else { - data = pdfData; - } - - // 加载PDF文档 - const pdfDocument = await getDocument({ data }).promise; - const numPages = pdfDocument.numPages; - console.log(`PDF文档共 ${numPages} 页`); - - // 存储生成的图像路径 - const pageImages = []; - - // 处理每一页 - for (let i = 0; i < numPages; i++) { - const pageIndex = i + 1; - console.log(`处理第 ${pageIndex} 页...`); - - // 获取页面 - const page = await pdfDocument.getPage(pageIndex); - const viewport = page.getViewport({ scale }); - - // 创建canvas - const canvas = createCanvas(viewport.width, viewport.height); - const context = canvas.getContext('2d'); - - // 填充白色背景 - context.fillStyle = '#ffffff'; - context.fillRect(0, 0, viewport.width, viewport.height); - - // 渲染页面 - await page.render({ - canvasContext: context, - viewport: viewport - }).promise; - - // 保存为图像 - const imageName = `page_${pageIndex}.png`; - const imagePath = path.join(outputDir, imageName); - - // 将canvas转换为图像并保存 - const buffer = await sharp(canvas.toBuffer('image/png')).png().toBuffer(); - await fs.writeFile(imagePath, buffer); - - // 添加到结果数组 - pageImages.push({"index":pageIndex,"path":imagePath}); - - console.log(`页面 ${pageIndex} 已保存到: ${imagePath}`); - } - - return pageImages; -}; - -export default { - renderRectToImage, - generateImagesFromPdf, - generateFullPageImages -}; diff --git a/src/index.js b/src/index.js deleted file mode 100644 index 57a197a..0000000 --- a/src/index.js +++ /dev/null @@ -1,265 +0,0 @@ -/** - * PDF2MD 主入口模块 - * 提供PDF转Markdown的完整功能 - */ -import fs from 'fs-extra'; -import path from 'path'; -import { parsePdfRects } from './pdfParser.js'; -import { generateImagesFromPdf, generateFullPageImages } from './imageGenerator.js'; -import { convertImagesToMarkdown } from './markdownConverter.js'; -import { ensureDir, removeFile, extractMdFromLLMOutput, adjustMarkdownHeadings, getOldMarkdownHeadings } from './utils.js'; -import ModelClient from './modelClient.js'; - -/** - * 将PDF文件解析为Markdown - * @param {string} pdfPath PDF文件路径 - * @param {Object} options 配置选项 - * @returns {Object} 处理结果 { content, imageFiles } - */ -/** - * 将PDF文件解析为Markdown，使用全页图像识别 - * @param {string} pdfPath PDF文件路径 - * @param {Object} options 配置选项 - * @returns {Object} 处理结果 { content, imageFiles, mdFilePath } - */ -export const parsePdfFullPage = async (pdfPath, options = {}) => { - const { - outputDir = './output', - apiKey, - baseUrl, - openAiApicompatible = false, - model = 'gpt-4-vision-preview', - prompt = `使用markdown语法，将图片中识别到的文字转换为markdown格式输出。你必须做到： - 1. 输出和使用识别到的图片的相同的语言，例如，识别到英语的字段，输出的内容必须是英语。 - 2. 不要解释和输出无关的文字，直接输出图片中的内容。 - 3. 内容不要包含在\`\`\`markdown \`\`\`中、段落公式使用 $$ $$ 的形式、行内公式使用 $ $ 的形式。 - 4. 忽略掉页眉页脚里的内容 - 5. 请不要对图片的标题进行markdown的格式化，直接以文本形式输出到内容中。 - 6. 有可能每页都会出现期刊名称，论文名称，会议名称或者书籍名称，请忽略他们不要识别成标题 - 7. 请精确分析当前PDF页面的文本结构和视觉布局，按以下要求处理： - 1. 识别所有标题文本，并判断其层级（根据字体大小、加粗、位置等视觉特征） - 2. 输出为带层级的Markdown格式，严格使用以下规则： - - 一级标题：字体最大/顶部居中，前面加 # - - 二级标题：字体较大/左对齐加粗，有可能是数字开头也有可能是罗马数组开头，前面加 ## - - 三级标题：字体稍大/左对齐加粗，前面加 ### - - 正文文本：直接转换为普通段落 - 3. 不确定层级的标题请标记[?] - 4. 如果是中文文献，但是有英文标题和摘要可以省略不输出 - 示例输出： - ## 4研究方法 - ### 4.1数据收集 - 本文采用问卷调查...`, - textPrompt = `你是一个专业的文本结构化处理助手，擅长根据前缀规则和标题语义分析并优化Markdown文档的标题层级结构。请根据以下要求处理我提供的Markdown标题： - ## 任务描述 - 请根据markdown文章标题的实际含义，以及标题的前缀特征调整各级标题的正确层级关系，具体要求如下： - 1. 一般相同格式的前缀的标题是同级关系({title}代表实际的标题内容)： - 例如： - 纯数字前缀开头\`1 {title}\`， \` 2 {title}\` ，\` 3 {title}\`，\` 4 {title}\`，\` 5 {title}\` ... 等 - 罗马数字前缀开头的\`I {title}\`，\`II {title}\` ，\`III {title}\`，\`IV {title}\`，\`V {title}\` ... 等 - 小数点分隔数组前缀开头 \`1.1 {title}\`, \`1.2 {title}\`, \`1.3 {title}\`.... \`2.1 {title}\`, \`2.2 {title}\` 等 - 2. 将子标题正确嵌套到父标题下（如\`1.1 {title}\`应作为\`1 {title}\`的子标题） - 3. 剔除与文章内容无关的标题 - 4. 保持输出标题内容与输入完全一致 - 5. 确保内容无缺失 - 6. 如果是中文文献，但有英文的文章题目，可以省略 - - ## 输入输出格式 - - 输入：包含错误层级关系的markdown标题结构 - - 输出：修正后的标准markdown标题层级结构 - - ## 处理原则 - 1. 严格根据标题语义确定所属关系 - 2. 仅调整层级不修改原标题文本 - 3. 无关标题直接移除不保留占位 - 4. 相同前缀规则的标题必须是同一级别，不能出现 一部分是 n级标题，一部分是其他级别的标题 - - ## 输出要求 - 请将修正后的完整标题结构放在代码块中返回，格式示例如下： - - 期望输出： - \`\`\`markdown - - \`\`\` - - 请处理以下数据： - `, - verbose = false, - scale = 3, - concurrency = 2, - onProgress - } = options; - - // 确保输出目录存在 - await ensureDir(outputDir); - - console.log('开始解析PDF文件(全页模式):', pdfPath); - - try { - // 第一步：生成全页图像 - console.log('生成全页图像...'); - const imageOutputDir = path.join(outputDir, 'pages'); - await ensureDir(imageOutputDir); - - const imageFiles = await generateFullPageImages(pdfPath, imageOutputDir, scale); - - //先把总页数传递回调用方法 - if(onProgress){ - onProgress({ - current: 0, - total: imageFiles.length, - taskStatus: "starting" - }); - } - - // 第二步：使用视觉模型处理每个页面图像 - console.log('处理全页图像...'); - - // 创建模型客户端 - const modelClient = new ModelClient({ - apiKey, - baseUrl, - model, - openAiApicompatible - }); - - const pageContents = []; - const processImages = async item => { - console.log(`处理页面 ${item.index}/${imageFiles.length}: ${path.basename(item.path)}`); - try { - // 处理图像 - 确保传入有效的prompt - const defaultPrompt = '请将图像中的所有文本内容转换为Markdown格式，包括标题、段落、列表和表格等。'; - const pageContent = await modelClient.processImage(item.path, prompt || defaultPrompt); - // 添加页面内容 - pageContents.push({ - pageIndex: item.index, - content: pageContent - }); - // 处理完成后，更新调用者的信息 - if(onProgress){ - onProgress({ - current: pageContents.length, - total: imageFiles.length, - taskStatus: "running" - }); - } - return { success: true, item, data: pageContent }; - } catch (error) { - console.error('Markdown 转换失败:', error); - return { success: false, item, error: error.message }; - } - } - - // 并行处理所有问题，最多同时处理5个 - await processInParallel(imageFiles, processImages, concurrency); - - //并行处理生成结果是乱序的，根据pageIndex进行排序再输出Markdown - pageContents.sort((a, b) => a.pageIndex - b.pageIndex); - - // 第三步：生成Markdown文件 - console.log('生成Markdown文档...'); - - // 生成Markdown内容 - let content = ''; - for (const page of pageContents) { - content += page.content; - } - - console.log("正在重新调整目录..."); - - // 提取转换后的标题 - const title = await getOldMarkdownHeadings(content); - - //使用大模型重新调整目录结构 - const convertedTitleLLMResult = await modelClient.processImage(null, textPrompt + JSON.stringify(title) || defaultPrompt); - const convertedTitle = await extractMdFromLLMOutput(convertedTitleLLMResult); - - //根据调整后的结果重新生成md文件 - const convertContent = await adjustMarkdownHeadings(content, convertedTitle); - - console.log("目录调整完成..."); - - // 第四步：保存Markdown文件 - const mdFilePath = path.join(outputDir, path.basename(pdfPath, '.pdf') + '.md'); - await fs.writeFile(mdFilePath, convertContent); - console.log('Markdown文件已保存至:', mdFilePath); - - // 第五步：清理临时图像文件（如果不需要保留） - if (!verbose) { - console.log('清理临时文件...'); - for (const imagePath of imageFiles) { - await removeFile(imagePath.path); - } - } - - // 将任务执行结束传递回调用方法 - if(onProgress){ - onProgress({ - current: imageFiles.length, - total: imageFiles.length, - taskStatus:"finished" - }); - } - - return { - content, - mdFilePath, - imageFiles - }; - } catch (error) { - console.error('PDF解析过程中发生错误:', error); - throw error; - } -}; - -/** - * 将PDF文件解析为Markdown（使用区域识别） - * @param {string} pdfPath PDF文件路径 - * @param {Object} options 配置选项 - * @returns {Object} 处理结果 { content, imageFiles } - */ -/** - * 将PDF文件解析为Markdown - * @param {string} pdfPath PDF文件路径 - * @param {Object} options 配置选项 - * @returns {Object} 处理结果 { content, imageFiles, mdFilePath } - */ -export const parsePdf = async (pdfPath, options = {}) => { - // 直接使用全页图像处理，不再使用子图 - return parsePdfFullPage(pdfPath, options); -}; - -// 并行处理数组的辅助函数，限制并发数 -const processInParallel = async (items, processFunction, concurrencyLimit) => { - const results = []; - const inProgress = new Set(); - const queue = [...items]; - - while (queue.length > 0 || inProgress.size > 0) { - // 如果有空闲槽位且队列中还有任务，启动新任务 - while (inProgress.size < concurrencyLimit && queue.length > 0) { - const item = queue.shift(); - const promise = processFunction(item).then(result => { - inProgress.delete(promise); - return result; - }); - inProgress.add(promise); - results.push(promise); - } - - // 等待其中一个任务完成 - if (inProgress.size > 0) { - await Promise.race(inProgress); - } - } - - return Promise.all(results); -}; - - -/** - * PDF2MD模块导出 - */ -export default { - parsePdf, - parsePdfFullPage -}; diff --git a/src/markdownConverter.js b/src/markdownConverter.js deleted file mode 100644 index e1a8a0a..0000000 --- a/src/markdownConverter.js +++ /dev/null @@ -1,116 +0,0 @@ -/** - * Markdown转换模块，使用模型客户端将图像转换为Markdown - */ -import fs from 'fs-extra'; -import path from 'path'; -import ModelClient from './modelClient.js'; - -// 默认提示词（中文版） -const DEFAULT_PROMPT = `使用markdown语法，将图片中识别到的文字转换为markdown格式输出。你必须做到： -1. 输出和使用识别到的图片的相同的语言，例如，识别到英语的字段，输出的内容必须是英语。 -2. 不要解释和输出无关的文字，直接输出图片中的内容。例如，严禁输出 "以下是我根据图片内容生成的markdown文本："这样的例子，而是应该直接输出markdown。 -3. 内容不要包含在\`\`\`markdown \`\`\`中、段落公式使用 $$ $$ 的形式、行内公式使用 $ $ 的形式、忽略掉长直线、忽略掉页码。 -再次强调，不要解释和输出无关的文字，直接输出图片中的内容。`; - -// 默认区域提示词（中文版） -const DEFAULT_RECT_PROMPT = `图片中用红色框和名称(%s)标注出了一些区域。如果区域是表格或者图片，使用 ![]() 的形式插入到输出内容中，否则直接输出文字内容。`; - -// 此处移除DEFAULT_ROLE_PROMPT，它已经被迁移到modelClient.js - -/** - * 处理单个图像并转换为Markdown - * @param {ModelClient} modelClient 模型客户端实例 - * @param {string} imagePath 图像文件路径 - * @param {string} prompt 提示词 - * @param {Object} options 模型选项 - * @returns {string} Markdown内容 - */ -export const processImageToMarkdown = async (modelClient, imagePath, prompt, options = {}) => { - return modelClient.processImage(imagePath, prompt, options); -}; - -/** - * 处理一组图像并合并成完整的Markdown - * @param {Array} imageInfos 图像信息数组 [{ pageImage, rectImages }, ...] - * @param {string} outputDir 输出目录 - * @param {Object} options 配置选项 - * @returns {string} 合并后的Markdown内容 - */ -export const convertImagesToMarkdown = async (imageInfos, outputDir, options) => { - const { - apiKey, - baseUrl, - model = 'gpt-4-vision-preview', - prompt: customPrompt, - rectPrompt: customRectPrompt, - verbose = false, - concurrency = 1, - modelConfig = {} - } = options; - - // 创建模型客户端 - const modelClient = new ModelClient({ - apiKey, - baseUrl, - model, - modelConfig - }); - - // 使用自定义提示词或默认提示词 - const prompt = customPrompt || DEFAULT_PROMPT; - const rectPrompt = customRectPrompt || DEFAULT_RECT_PROMPT; - - // 存储每个图像的Markdown内容 - const markdownParts = []; - - // 处理每个页面的图像 - for (let pageIndex = 0; pageIndex < imageInfos.length; pageIndex++) { - const { pageImage, rectImages } = imageInfos[pageIndex]; - console.log(`处理页面 ${pageIndex + 1} 的 ${rectImages.length} 个区域图像`); - - // 处理页面上的每个区域图像 - const tasks = rectImages.map(async (rectImage, rectIndex) => { - const imagePath = path.join(outputDir, rectImage); - const imageName = `${pageIndex}_${rectIndex}`; - - // 构建提示词 - const fullPrompt = prompt + '\n' + rectPrompt.replace('%s', imageName); - - try { - // 处理图像 - const markdown = await processImageToMarkdown(modelClient, imagePath, fullPrompt, { model }); - return { rectIndex, markdown }; - } catch (error) { - console.error(`处理图像 ${imageName} 失败:`, error); - return { rectIndex, markdown: `` }; - } - }); - - // 并行处理图像（根据并发度） - const results = []; - for (let i = 0; i < tasks.length; i += concurrency) { - const batch = tasks.slice(i, i + concurrency); - const batchResults = await Promise.all(batch); - results.push(...batchResults); - } - - // 按原始顺序整理结果 - const sortedResults = results.sort((a, b) => a.rectIndex - b.rectIndex); - const pageMarkdownParts = sortedResults.map(result => result.markdown); - - // 添加页面标记 - // markdownParts.push(`\n\n`); - markdownParts.push(...pageMarkdownParts); - // markdownParts.push(`\n\n\n\n`); - } - - // 合并所有Markdown内容 - return markdownParts.join('\n\n'); -}; - -export default { - processImageToMarkdown, - convertImagesToMarkdown, - DEFAULT_PROMPT, - DEFAULT_RECT_PROMPT -}; diff --git a/src/modelClient.js b/src/modelClient.js deleted file mode 100644 index d9fc696..0000000 --- a/src/modelClient.js +++ /dev/null @@ -1,370 +0,0 @@ -/** - * 模型客户端模块，用于处理不同视觉模型的API调用 - */ -import fs from 'fs-extra'; -import path from 'path'; -import https from 'https'; -import http from 'http'; -import { promisify } from 'util'; - -// 默认角色提示词（中文版） -const DEFAULT_ROLE_PROMPT = `你是一个PDF文档解析器，使用markdown和latex语法输出图片的内容。`; - -/** - * 模型客户端类，处理与不同视觉模型的交互 - */ -export class ModelClient { - /** - * 创建模型客户端实例 - * @param {Object} config 配置对象 - * @param {string} config.apiKey OpenAI API密钥 - * @param {string} [config.baseUrl] 自定义API基础URL - * @param {string} [config.model='gpt-4-vision-preview'] 默认使用的模型 - * @param {Object} [config.modelConfig={}] 模型特定配置 - */ - constructor(config) { - this.config = { - model: 'gpt-4-vision-preview', - modelConfig: {}, - ...config - }; - - // 初始化模型客户端 - this.initClient(); - } - - /** - * 初始化模型客户端 - * @private - */ - initClient() { - const { apiKey } = this.config; - - if (!apiKey) { - throw new Error('必须提供API密钥'); - } - - // 不再创建SDK实例，而是保存必要的配置信息用于API调用 - this.apiKey = apiKey; - } - - /** - * 处理图像并转换为Markdown文本 - * @param {string} imagePath 图像文件路径 - * @param {string} prompt 提示词 - * @param {Object} [options={}] 附加选项 - * @param {string} [options.model] 覆盖默认模型 - * @param {string} [options.rolePrompt] 覆盖默认角色提示词 - * @param {number} [options.maxTokens] 最大生成token数 - * @param {string} [options.endpoint] 自定义API端点 - * @returns {Promise} Markdown文本 - */ - async processImage(imagePath, prompt, options = {}) { - const { - model = this.config.model, - rolePrompt = DEFAULT_ROLE_PROMPT, - maxTokens = 4096, - endpoint = this.config.baseUrl - } = options; - - // 读取图像文件 - let base64Image = null; - if (imagePath) { - const imageBuffer = await fs.readFile(imagePath); - base64Image = imageBuffer.toString('base64'); - } - - - // 根据不同模型类型调用对应API - if (model.startsWith('gpt-4') || model.startsWith('gpt-3.5')) { - return this.callOpenAIAPI(model, rolePrompt, prompt, base64Image, maxTokens, endpoint); - } else if (model.startsWith('claude') && !this.config.openAiApicompatible) { - return this.callClaudeAPI(model, rolePrompt, prompt, base64Image, maxTokens, endpoint); - } else if (model.startsWith('gemini') && !this.config.openAiApicompatible) { - return this.callGeminiAPI(model, rolePrompt, prompt, base64Image, maxTokens, endpoint); - } else if (model.startsWith('doubao') && !this.config.openAiApicompatible) { - return this.callDoubaoAPI(model, rolePrompt, prompt, base64Image, maxTokens, endpoint); - } else { - // 默认使用OpenAI - return this.callOpenAIAPI(model, rolePrompt, prompt, base64Image, maxTokens, endpoint); - } - } - - /** - * 通过API调用OpenAI视觉模型 - * @private - */ - async callOpenAIAPI(model, rolePrompt, prompt, base64Image, maxTokens, endpoint) { - // 使用OpenAI API - const apiEndpoint = endpoint || 'https://api.openai.com/v1/chat/completions'; - - // 构建用户消息内容 - const userContent = [{ type: 'text', text: prompt }]; - - // 如果有base64图片，添加图片内容 - if (base64Image) { - userContent.push({ - type: 'image_url', - image_url: { - url: `data:image/png;base64,${base64Image}` - } - }); - } - - const requestData = { - model, - messages: [ - { - role: 'system', - content: rolePrompt - }, - { - role: 'user', - content: userContent - } - ], - max_tokens: maxTokens - }; - - const response = await this.makeHttpRequest(apiEndpoint, { - method: 'POST', - headers: { - 'Content-Type': 'application/json', - 'Authorization': `Bearer ${this.apiKey}` - }, - body: JSON.stringify(requestData) - }); - - if (response.error) { - throw new Error(`OpenAI API调用失败: ${response.error.message || JSON.stringify(response.error)}`); - } - - return response.choices[0].message.content; - } - - /** - * 通过API调用Claude视觉模型 - * @private - */ - async callClaudeAPI(model, rolePrompt, prompt, base64Image, maxTokens, endpoint) { - // 使用Claude API - const apiEndpoint = endpoint || 'https://api.anthropic.com/v1/messages'; - - // 构建消息内容 - const messageContent = [{ type: 'text', text: prompt }]; - - // 如果有base64图片，添加图片内容 - if (base64Image) { - messageContent.push({ - type: 'image', - source: { - type: 'base64', - media_type: 'image/png', - data: base64Image - } - }); - } - - const requestData = { - model, - system: rolePrompt, - max_tokens: maxTokens, - messages: [ - { - role: 'user', - content: messageContent - } - ] - }; - - const response = await this.makeHttpRequest(apiEndpoint, { - method: 'POST', - headers: { - 'Content-Type': 'application/json', - 'x-api-key': this.apiKey, - 'anthropic-version': '2023-06-01' - }, - body: JSON.stringify(requestData) - }); - - if (response.error) { - throw new Error(`Claude API调用失败: ${response.error.message || JSON.stringify(response.error)}`); - } - - return response.content[0].text; - } - - /** - * 通过API调用Gemini视觉模型 - * @private - */ - async callGeminiAPI(model, rolePrompt, prompt, base64Image, maxTokens, endpoint) { - // 使用Google Gemini API - const apiEndpoint = endpoint || `https://generativelanguage.googleapis.com/v1/models/${model}:generateContent`; - - // 构建消息部分 - const parts = [ - { text: `${rolePrompt}\n${prompt}` } // 合并系统提示和用户提示 - ]; - - // 如果有base64图片，添加图片内容 - if (base64Image) { - parts.push({ - inline_data: { - mime_type: 'image/png', // 可以根据实际情况调整MIME类型 - data: base64Image - } - }); - } - - const requestData = { - contents: [{ - parts: parts - }], - generation_config: { - max_output_tokens: maxTokens - } - }; - - // Gemini API使用URL参数传递API密钥 - const fullUrl = `${apiEndpoint}?key=${this.apiKey}`; - - const response = await this.makeHttpRequest(fullUrl, { - method: 'POST', - headers: { - 'Content-Type': 'application/json' - }, - body: JSON.stringify(requestData) - }); - - if (response.error) { - throw new Error(`Gemini API调用失败: ${response.error.message || JSON.stringify(response.error)}`); - } - - return response.candidates[0].content.parts[0].text; - } - - /** - * 通过API调用豆包视觉模型 - * @private - */ - async callDoubaoAPI(model, rolePrompt, prompt, base64Image, maxTokens, endpoint) { - // 使用豆包API - const apiEndpoint = endpoint || 'https://ark.cn-beijing.volces.com/api/v3'; - - // 构建用户消息内容 - const userContent = [{ type: 'text', text: prompt }]; - - // 如果有base64图片，添加图片内容 - if (base64Image) { - userContent.push({ - type: 'image_url', - image_url: { - url: `data:image/png;base64,${base64Image}` - } - }); - } - - const requestData = { - model, - messages: [ - { - role: 'system', - content: rolePrompt - }, - { - role: 'user', - content: userContent - } - ], - max_tokens: maxTokens // 添加max_tokens参数 - }; - - const response = await this.makeHttpRequest(endpoint.endsWith('/chat/completions') ? apiEndpoint : `${apiEndpoint}/chat/completions`, { - method: 'POST', - headers: { - 'Content-Type': 'application/json', - 'Content-Length': Buffer.byteLength(JSON.stringify(requestData)), - 'Authorization': `Bearer ${this.apiKey}` - }, - body: JSON.stringify(requestData) - }); - - if (response.error) { - throw new Error(`豆包API调用失败: ${response.error.message || JSON.stringify(response.error)}`); - } - - return response.choices[0].message.content; - } - - /** - * 通用HTTP请求方法 - * @param {string} url API端点URL - * @param {Object} options 请求选项 - * @returns {Promise} API响应对象 - * @private - */ - makeHttpRequest(url, options) { - return new Promise((resolve, reject) => { - const urlObj = new URL(url); - const client = urlObj.protocol === 'https:' ? https : http; - const requestOptions = { - method: options.method || 'GET', - headers: options.headers || {}, - hostname: urlObj.hostname, - port: urlObj.port || (urlObj.protocol === 'https:' ? 443 : 80), - path: urlObj.pathname + urlObj.search - }; - const req = client.request(requestOptions, (res) => { - let data = ''; - res.on('data', (chunk) => { - data += chunk; - }); - - res.on('end', () => { - try { - if (res.statusCode >= 200 && res.statusCode < 300) { - const parsedData = JSON.parse(data); - resolve(parsedData); - } else { - reject(new Error(`请求失败，状态码: ${res.statusCode}, 响应: ${data}`)); - } - } catch (e) { - reject(new Error(`API响应解析失败: ${e.message}, 原始响应: ${data}`)); - } - }); - }); - - req.on('error', (error) => { - reject(new Error(`请求失败: ${error.message}`)); - }); - - if (options.body) { - req.write(options.body); - } - - req.end(); - }); - } - - /** - * 获取支持的模型列表 - * @returns {Array} 支持的模型列表 - */ - getSupportedModels() { - return [ - // OpenAI视觉模型 - 'gpt-4-vision-preview', - 'gpt-4o', - // Claude视觉模型 - 'claude-3-opus-20240229', - 'claude-3-sonnet-20240229', - // Gemini模型 - 'gemini-pro-vision', - // 豆包模型 - 'doubao-1.5-vision-pro-32k-250115' - ]; - } -} - -export default ModelClient; diff --git a/src/pdfParser.js b/src/pdfParser.js deleted file mode 100644 index 5c5cf9b..0000000 --- a/src/pdfParser.js +++ /dev/null @@ -1,177 +0,0 @@ -/** - * PDF解析模块，负责从PDF文件中提取文本和图像信息 - */ -import pkg from 'pdfjs-dist/legacy/build/pdf.js'; -const { getDocument, OPS } = pkg; -import { createRect } from './utils.js'; -import { mergeRects, adsorbRectsToRects, filterSmallRects } from './rectProcessor.js'; -import fs from 'fs-extra'; -import path from 'path'; - -/** - * 解析PDF页面，识别区域 - * @param {Object} page PDF.js页面对象 - * @returns {Array} 识别出的区域坐标数组 [[x0, y0, x1, y1], ...] - */ -export const parseRects = async (page) => { - console.log('\n开始解析页面区域...'); - // 获取页面尺寸 - const viewport = page.getViewport({ scale: 1.0 }); - console.log(`页面尺寸: ${viewport.width} x ${viewport.height}`); - - // 提取文本内容 - const textContent = await page.getTextContent(); - - // 创建文本区域的矩形列表 - const textRects = textContent.items.map(item => { - const { str, transform } = item; - // 获取文本项的位置和尺寸 - const x = transform[4]; - const y = transform[5]; - const width = item.width || 0; - const height = item.height || 12; // 默认高度 - - // 创建文本区域矩形 - return { - rect: createRect([x, viewport.height - y - height, x + width, viewport.height - y]), - text: str, - isLarge: str.length / Math.max(1, str.split('\n').length) > 5 // 判断是否为大文本块 - }; - }); - - // 分离大文本和小文本区域 - const largeTextRects = textRects.filter(item => item.isLarge).map(item => item.rect); - const smallTextRects = textRects.filter(item => !item.isLarge).map(item => item.rect); - console.log(`创建了 ${textRects.length} 个文本区域，其中大文本 ${largeTextRects.length} 个，小文本 ${smallTextRects.length} 个`); - - // 获取操作列表，找出图像和绘图元素 - const operatorList = await page.getOperatorList(); - console.log(`提取到 ${operatorList.fnArray.length} 个操作`); - - // 提取图像和绘图元素 - const drawingRects = []; - const imageRects = []; - - for (let i = 0; i < operatorList.fnArray.length; i++) { - const fn = operatorList.fnArray[i]; - const args = operatorList.argsArray[i]; - - // 处理绘图操作 - if (fn === OPS.stroke || fn === OPS.fill) { - // 简化处理：假设前面有一个矩形路径定义 - if (i > 0 && operatorList.fnArray[i - 1] === OPS.constructPath) { - const pathArgs = operatorList.argsArray[i - 1]; - // 简化：仅处理第一个矩形 - if (pathArgs.length >= 2 && pathArgs[0].length >= 4) { - const coords = pathArgs[0].slice(0, 4); - // 创建矩形，简化处理 - const rect = createRect([ - coords[0], - viewport.height - coords[1], - coords[2], - viewport.height - coords[3] - ]); - - // 忽略小的水平线 - const bbox = rect.bbox; - const isShortLine = Math.abs(bbox[3] - bbox[1]) < 1 && Math.abs(bbox[2] - bbox[0]) < 30; - - if (!isShortLine) { - drawingRects.push(rect); - } - } - } - } - - // 处理图像操作 - if (fn === OPS.paintImageXObject) { - // 简化：假设前面有setTransform操作 - if (i > 0 && operatorList.fnArray[i - 1] === OPS.setTransform) { - const transform = operatorList.argsArray[i - 1]; - // 简化：根据变换矩阵创建近似的矩形 - const x = transform[4]; - const y = transform[5]; - const width = transform[0] * 100; // 简化估计 - const height = transform[3] * 100; // 简化估计 - - const rect = createRect([ - x, - viewport.height - y - height, - x + width, - viewport.height - y - ]); - - imageRects.push(rect); - } - } - } - - // 合并所有矩形 - let allRects = [...drawingRects, ...imageRects, ...largeTextRects, ...smallTextRects]; - console.log(`提取到 ${drawingRects.length} 个绘图区域、${imageRects.length} 个图像区域、${largeTextRects.length} 个大文本区域和 ${smallTextRects.length} 个小文本区域`); - - // 合并相近的矩形 - 增加合并阈值以确保文本不被截断 - let mergedRects = mergeRects(allRects, 25, 150); // 将距离阈值从10增加到25，高度阈值从100增加到150 - console.log(`合并后有 ${mergedRects.length} 个区域`); - - // 如果有绘图或图像区域，才进行吸附 - let updatedMergedRects = mergedRects; - if (drawingRects.length > 0 || imageRects.length > 0) { - // 将大文本区域吸附到合并后的矩形 - let [_, temp] = adsorbRectsToRects(largeTextRects, mergedRects, 0.1); - updatedMergedRects = temp; - - // 将小文本区域吸附到更新后的矩形 - [_, updatedMergedRects] = adsorbRectsToRects(smallTextRects, updatedMergedRects, 5); - } - - // 再次合并相近的矩形 - mergedRects = mergeRects(updatedMergedRects, 10); - - // 过滤掉太小的矩形 - 减小过滤阈值以保留更多区域 - mergedRects = filterSmallRects(mergedRects, 15, 10); // 降低尺寸阈值，从20x20高度改为15x10 - console.log(`过滤小矩形后剩下 ${mergedRects.length} 个区域`); - - // 将矩形转换为坐标数组 - const result = mergedRects.map(rect => { - const bbox = rect.bbox; - return [bbox[0], bbox[1], bbox[2], bbox[3]]; - }); - - console.log(`最终返回 ${result.length} 个区域`); - return result; -}; - -/** - * 从PDF文件解析出所有页面的区域 - * @param {string} pdfPath PDF文件路径 - * @returns {Array} 每个页面的区域信息 [{ pageIndex, rects: [[x0, y0, x1, y1], ...] }, ...] - */ -export const parsePdfRects = async (pdfPath) => { - // 加载PDF文档 - const data = new Uint8Array(await fs.readFile(pdfPath)); - const pdf = await getDocument({ data }).promise; - - const pageCount = pdf.numPages; - const results = []; - - // 处理每一页 - for (let i = 1; i <= pageCount; i++) { - const page = await pdf.getPage(i); - const rects = await parseRects(page); - - results.push({ - pageIndex: i - 1, - rects - }); - - console.log(`处理页面 ${i}/${pageCount}，找到 ${rects.length} 个区域`); - } - - return results; -}; - -export default { - parseRects, - parsePdfRects -}; diff --git a/src/rectProcessor.js b/src/rectProcessor.js deleted file mode 100644 index c85600c..0000000 --- a/src/rectProcessor.js +++ /dev/null @@ -1,137 +0,0 @@ -/** - * 矩形区域处理模块，用于合并和处理PDF中的矩形区域 - */ -import * as turf from '@turf/turf'; -import { isNear, isHorizontalNear, unionRects, createRect, isValidRect } from './utils.js'; - -/** - * 合并矩形列表中相近的矩形 - * @param {Array} rectList 矩形列表 - * @param {number} distance 合并距离阈值 - * @param {number|null} horizontalDistance 水平合并距离阈值 - * @returns {Array} 合并后的矩形列表 - */ -export const mergeRects = (rectList, distance = 20, horizontalDistance = null) => { - try { - // 防止空列表 - if (!rectList || !Array.isArray(rectList) || rectList.length === 0) { - return []; - } - - // 预处理：过滤无效矩形 - let validRects = rectList.filter(rect => rect && isValidRect(rect)); - if (validRects.length === 0) { - return []; - } - - // 复制数组，避免修改原数组 - let workingRects = [...validRects]; - let merged = true; - - while (merged && workingRects.length > 0) { - merged = false; - const newRectList = []; - - while (workingRects.length > 0) { - let rect = workingRects.shift(); - if (!rect) continue; // 跳过空值 - - for (let i = 0; i < workingRects.length; i++) { - const otherRect = workingRects[i]; - if (!otherRect) continue; // 跳过空值 - - if (isNear(rect, otherRect, distance) || - (horizontalDistance && isHorizontalNear(rect, otherRect, horizontalDistance))) { - // 合并矩形 - const mergedRect = unionRects(rect, otherRect); - if (mergedRect) { - rect = mergedRect; - // 从列表中移除已合并的矩形 - workingRects.splice(i, 1); - i--; // 调整索引 - merged = true; - } - } - } - - if (rect) { - newRectList.push(rect); - } - } - - workingRects = newRectList; - } - - // 过滤无效的矩形 - return workingRects.filter(rect => rect && isValidRect(rect)); - } catch (error) { - console.error('合并矩形时出错:', error.message); - return []; - } -}; - -/** - * 将源矩形列表吸附到目标矩形列表 - * @param {Array} sourceRects 源矩形列表 - * @param {Array} targetRects 目标矩形列表 - * @param {number} distance 吸附距离阈值 - * @returns {Array} [未吸附的源矩形列表, 更新后的目标矩形列表] - */ -export const adsorbRectsToRects = (sourceRects, targetRects, distance = 10) => { - const newSourceRects = []; - const updatedTargetRects = [...targetRects]; - - for (const rect of sourceRects) { - let adsorbed = false; - - for (let i = 0; i < updatedTargetRects.length; i++) { - if (isNear(rect, updatedTargetRects[i], distance)) { - // 合并矩形 - updatedTargetRects[i] = unionRects(rect, updatedTargetRects[i]); - adsorbed = true; - break; - } - } - - if (!adsorbed) { - newSourceRects.push(rect); - } - } - - return [newSourceRects, updatedTargetRects]; -}; - -/** - * 将几何对象数组转换为矩形的坐标数组 - * @param {Array} rects 几何对象数组 - * @returns {Array} 矩形坐标数组 [[x0, y0, x1, y1], ...] - */ -export const rectsToCoordinates = (rects) => { - return rects.map(rect => { - const bbox = turf.bbox(rect); - return [bbox[0], bbox[1], bbox[2], bbox[3]]; - }); -}; - -/** - * 过滤掉太小的矩形 - * @param {Array} rects 矩形列表 - * @param {number} minWidth 最小宽度 - * @param {number} minHeight 最小高度 - * @returns {Array} 过滤后的矩形列表 - */ -export const filterSmallRects = (rects, minWidth = 20, minHeight = 20) => { - return rects.filter(rect => { - const bbox = turf.bbox(rect); - const width = bbox[2] - bbox[0]; - const height = bbox[3] - bbox[1]; - return width > minWidth && height > minHeight; - }); -}; - -export default { - mergeRects, - adsorbRectsToRects, - rectsToCoordinates, - filterSmallRects -}; diff --git a/src/utils.js b/src/utils.js deleted file mode 100644 index 745c72a..0000000 --- a/src/utils.js +++ /dev/null @@ -1,301 +0,0 @@ -/** - * 工具函数模块，提供常用的辅助功能 - */ -import fs from 'fs-extra'; -import path from 'path'; -import * as turf from '@turf/turf'; - -/** - * 确保目录存在，不存在则创建 - * @param {string} directory 目录路径 - */ -export const ensureDir = async (directory) => { - await fs.ensureDir(directory); -}; - -/** - * 创建矩形几何对象 - * @param {Array} bounds [x0, y0, x1, y1] 表示矩形的左上和右下坐标 - * @returns {Object} turf几何对象 - */ -export const createRect = (bounds) => { - const [x0, y0, x1, y1] = bounds; - // 创建一个矩形几何对象 - return turf.bboxPolygon([x0, y0, x1, y1]); -}; - -/** - * 计算两个矩形之间的距离 - * @param {Object} rect1 第一个矩形 - * @param {Object} rect2 第二个矩形 - * @param {number} buffer 缓冲区大小 - * @returns {number} 距离 - */ -export const getDistance = (rect1, rect2, buffer = 0.1) => { - // 直接使用几何计算来获取距离 - const bbox1 = turf.bbox(rect1); - const bbox2 = turf.bbox(rect2); - - // 计算矩形之间的距离 - // 如果矩形重叠，返回0 - if (bbox1[0] <= bbox2[2] && bbox2[0] <= bbox1[2] && bbox1[1] <= bbox2[3] && bbox2[1] <= bbox1[3]) { - return 0; - } - - // 计算水平和垂直方向的距离 - let dx = 0; - let dy = 0; - - if (bbox1[2] < bbox2[0]) { - dx = bbox2[0] - bbox1[2]; // rect1在rect2的左边 - } else if (bbox2[2] < bbox1[0]) { - dx = bbox1[0] - bbox2[2]; // rect1在rect2的右边 - } - - if (bbox1[3] < bbox2[1]) { - dy = bbox2[1] - bbox1[3]; // rect1在rect2的上边 - } else if (bbox2[3] < bbox1[1]) { - dy = bbox1[1] - bbox2[3]; // rect1在rect2的下边 - } - - // 计算欧几里得距离 - return Math.sqrt(dx * dx + dy * dy) - buffer * 2; -}; - -/** - * 检查两个矩形是否足够接近 - * @param {Object} rect1 第一个矩形 - * @param {Object} rect2 第二个矩形 - * @param {number} distance 距离阈值 - * @returns {boolean} 是否接近 - */ -export const isNear = (rect1, rect2, distance = 20) => { - try { - // 检查矩形是否有效 - if (!rect1 || !rect2) return false; - - // 计算距离 - const dist = getDistance(rect1, rect2); - - // 返回是否小于阈值 - return dist < distance; - } catch (error) { - console.error('检查矩形接近性时出错:', error.message); - return false; - } -}; - -/** - * 检查两个矩形是否在水平方向上接近 - * @param {Object} rect1 第一个矩形 - * @param {Object} rect2 第二个矩形 - * @param {number} distance 距离阈值 - * @returns {boolean} 是否水平接近 - */ -export const isHorizontalNear = (rect1, rect2, distance = 100) => { - try { - // 检查矩形是否有效 - if (!rect1 || !rect2) return false; - - const bbox1 = turf.bbox(rect1); - const bbox2 = turf.bbox(rect2); - - // 获取矩形的高度和宽度 - const height1 = bbox1[3] - bbox1[1]; - const height2 = bbox2[3] - bbox2[1]; - const width1 = bbox1[2] - bbox1[0]; - const width2 = bbox2[2] - bbox2[0]; - - // 判断是否为水平线(高度很小，宽度较大) - const isHorizontalLine1 = height1 < 2 && width1 > 10; - const isHorizontalLine2 = height2 < 2 && width2 > 10; - - // 如果两个矩形都是水平线 - if (isHorizontalLine1 && isHorizontalLine2) { - // 检查水平方向上是否重叠或接近 - const horizontalOverlap = ( - (bbox1[0] <= bbox2[2] && bbox2[0] <= bbox1[2]) || // x方向重叠 - Math.abs(bbox1[0] - bbox2[0]) < 5 || // 左边界接近 - Math.abs(bbox1[2] - bbox2[2]) < 5 // 右边界接近 - ); - - // 如果水平方向重叠或接近，检查垂直距离 - if (horizontalOverlap) { - const verticalDistance = Math.min( - Math.abs(bbox1[1] - bbox2[3]), - Math.abs(bbox1[3] - bbox2[1]) - ); - return verticalDistance < distance; - } - } - - return false; - } catch (error) { - console.error('检查水平接近性时出错:', error.message); - return false; - } -}; - -/** - * 合并两个矩形 - * @param {Object} rect1 第一个矩形 - * @param {Object} rect2 第二个矩形 - * @returns {Object} 合并后的矩形 - */ -export const unionRects = (rect1, rect2) => { - try { - // 检查矩形是否有效 - if (!rect1 && !rect2) return null; - if (!rect1) return rect2; - if (!rect2) return rect1; - - // 获取边界框 - const bbox1 = turf.bbox(rect1); - const bbox2 = turf.bbox(rect2); - - // 创建一个包含两个矩形的最小矩形 - const minX = Math.min(bbox1[0], bbox2[0]); - const minY = Math.min(bbox1[1], bbox2[1]); - const maxX = Math.max(bbox1[2], bbox2[2]); - const maxY = Math.max(bbox1[3], bbox2[3]); - - // 创建新的矩形 - return turf.bboxPolygon([minX, minY, maxX, maxY]); - } catch (error) { - console.error('合并矩形时出错:', error.message); - return null; - } -}; - -/** - * 生成随机文件名 - * @param {string} prefix 前缀 - * @param {string} extension 文件扩展名 - * @returns {string} 随机文件名 - */ -export const generateRandomFileName = (prefix = 'img', extension = 'png') => { - return `${prefix}_${Date.now()}_${Math.floor(Math.random() * 10000)}.${extension}`; -}; - -/** - * 删除文件 - * @param {string} filePath 文件路径 - */ -export const removeFile = async (filePath) => { - try { - await fs.remove(filePath); - } catch (error) { - console.error(`删除文件 ${filePath} 失败:`, error); - } -}; - -/** - * 判断矩形是否有效 - * @param {Object} rect 矩形对象 - * @returns {boolean} 是否有效 - */ -export const isValidRect = (rect) => { - try { - // 检查是否为空 - if (!rect) return false; - - // 检查是否有效的几何对象 - if (!rect.type || !rect.geometry) { - // 如果不是GeoJSON对象，尝试获取其边界框 - const bbox = turf.bbox(rect); - // 检查边界框是否有效 - return bbox && bbox.length === 4 && - bbox[0] <= bbox[2] && bbox[1] <= bbox[3] && // 确保坐标正确 - (bbox[2] - bbox[0]) > 0 && (bbox[3] - bbox[1]) > 0; // 确保矩形有面积 - } - - return true; - } catch (error) { - console.error('检查矩形有效性时出错:', error.message); - return false; - } -}; - -// 从 LLM 输出中提取标题 -export const extractMdFromLLMOutput = (output) => { - const mdStart = output.indexOf('```markdown'); - const mdEnd = output.lastIndexOf('```'); - if (mdStart !== -1 && mdEnd !== -1) { - const mdString = output.substring(mdStart + 12, mdEnd) - return mdString; - } else { - console.error('模型未按标准格式输出:', output); - return undefined; - } -} - -//获取优化前的 markdwon 标题 -export const getOldMarkdownHeadings = (markdownText) => { - const title = []; - const lines = markdownText.split('\n'); - lines.forEach((line) => { - // 匹配 # 开头，并捕获后面的内容 - const match = line.match(/^#+\s*(.*)/); - if (match) { - title.push(line); - } - }) - return title.join('\n');; -} - -//根据新生成的标题结构，重新设置原文章中标题级别 -export const adjustMarkdownHeadings = (markdownText, newTitle) => { - const map = createTitleLevelMap(newTitle); - const lines = markdownText.split('\n'); - const processedLines = []; - lines.forEach((line) => { - // 匹配 # 开头，并捕获后面的内容 - const match = line.match(/^#+\s*(.*)/); - if (!match) { - processedLines.push(line); - return; - } - const content = match ? match[1] : line; - // 检查 content 是否在 map 中存在 - let newLine = line; - if (map.has(content)) { - const level = map.get(content); - // 生成对应数量的 #（例如 level=2 -> "##"） - const hashes = '#'.repeat(level); - newLine = `${hashes} ${content}`; - console.log("转换前：" + line + "===>转换后" + newLine); - } - processedLines.push(newLine); - }); - return processedLines.join('\n'); -} - -//根据标题#数量，建立内容和数量的map映射 -function createTitleLevelMap(data, map = new Map()) { - const lines = data.split('\n'); - for (const line of lines) { - // 匹配以#开头的标题行 - const headerMatch = line.match(/^(#+)\s*(.+)/); - if (headerMatch) { - const level = headerMatch[1].length; // #号的数量 - const text = headerMatch[2].trim(); // #号后的文本内容 - map.set(text, level); - } - } - return map; -} - -export default { - ensureDir, - createRect, - getDistance, - isNear, - isHorizontalNear, - unionRects, - generateRandomFileName, - removeFile, - isValidRect, - extractMdFromLLMOutput, - adjustMarkdownHeadings, - getOldMarkdownHeadings -}; diff --git a/test/README.md b/test/README.md deleted file mode 100644 index ac76fb1..0000000 --- a/test/README.md +++ /dev/null @@ -1,59 +0,0 @@ -# 模型测试工具使用说明 - -这个测试工具用于测试不同视觉模型的处理能力，方便您对比和选择最适合PDF转Markdown任务的模型。 - -## 准备工作 - -1. 创建测试图片目录： -```bash -mkdir -p test/images -``` - -2. 将测试图片放入 `test/images` 目录中（支持PNG、JPG格式） - -3. 设置环境变量（可选）： -```bash -# OpenAI API密钥 -export OPENAI_API_KEY=sk-your-key - -# Claude API密钥 -export ANTHROPIC_API_KEY=sk-ant-your-key - -# Gemini API密钥 -export GEMINI_API_KEY=your-key - -# 豆包API密钥 -export DOUBAO_API_KEY=your-key -``` - -## 运行测试 - -```bash -node test/testModel.js -``` - -## 功能说明 - -1. **选择模型**：支持多种视觉模型，包括OpenAI、Claude、Gemini和豆包 -2. **选择测试图片**：从test/images目录中选择要测试的图片 -3. **选择提示词模板**：提供多种预设的提示词模板，也可以自定义提示词 -4. **保存结果**：可以将处理结果保存到test/results目录中，方便对比不同模型的效果 - -## 支持的模型 - -- GPT-4 Vision Preview (OpenAI) -- GPT-4o (OpenAI) -- Claude 3 Opus (Anthropic) -- Claude 3 Sonnet (Anthropic) -- Gemini Pro Vision (Google) -- 豆包 1.5 Vision Pro (ByteDance) - -## 提示词模板 - -- **default**: 默认的PDF转Markdown提示词 -- **simple**: 简单描述图片内容 -- **detailed**: 详细分析图片内容，包括文本、图表、公式等 - -## 结果对比 - -测试结果会保存在 `test/results` 目录中，文件名格式为 `{模型ID}_{时间戳}.md`，方便您对比不同模型的处理效果。 diff --git a/test/images/test.png b/test/images/test.png deleted file mode 100644 index 8ed3fdf..0000000 Binary files a/test/images/test.png and /dev/null differ diff --git a/test/results/doubao-1.5-vision-pro-32k-250115_2025-03-30T03-03-21-341Z.md b/test/results/doubao-1.5-vision-pro-32k-250115_2025-03-30T03-03-21-341Z.md deleted file mode 100644 index c015eff..0000000 --- a/test/results/doubao-1.5-vision-pro-32k-250115_2025-03-30T03-03-21-341Z.md +++ /dev/null @@ -1,9 +0,0 @@ -## 二、营销危机的解决方案——故事化营销 -### 1. 为什么是故事拯救营销? -最早的人类，通过自我意识、他者意识、记忆、智慧、想象力、洞察力、关联能力和自我表达能力，将发生的现实在头脑中转化成故事来总结并与他人分享经验。 - -人类从故事中就可以汲取生活经验用于现实生活，所以人本能地就喜欢故事，这也就是为什么说故事是最适合人类心智的学习工具的原因，因此故事可以作为一个切入口成为有效的营销工具。 - -### 2. 什么是故事? -#### （1）故事的定义 -所有的故事都是叙事，但并不是所有的叙事都是故事。零部件的堆砌不是故事、公司层级制度展示不是故事、大事记不是故事、被动的流水账也不是故事。 \ No newline at end of file diff --git a/test/testFullImageGeneration.js b/test/testFullImageGeneration.js deleted file mode 100644 index c8784f0..0000000 --- a/test/testFullImageGeneration.js +++ /dev/null @@ -1,145 +0,0 @@ -/** - * 完整PDF到图像转换测试 - * 用于测试将PDF文件及其识别出的区域转换为图像 - */ -import fs from 'fs-extra'; -import path from 'path'; -import { fileURLToPath } from 'url'; -import pkg from 'pdfjs-dist/legacy/build/pdf.js'; -const { getDocument } = pkg; -import { renderRectToImage, generateImagesFromPdf } from '../src/imageGenerator.js'; -import { parsePdfRects } from '../src/pdfParser.js'; - -// 获取当前文件的目录 -const __filename = fileURLToPath(import.meta.url); -const __dirname = path.dirname(__filename); - -// 设置PDF.js的worker路径 -try { - const pdfjsWorker = path.join(__dirname, '..', 'node_modules/pdfjs-dist/legacy/build/pdf.worker.js'); - const pdfjsWorkerUrl = new URL(`file://${pdfjsWorker}`).href; - - // 全局设置worker路径 - globalThis.pdfjsWorkerSrc = pdfjsWorkerUrl; - - console.log('设置PDF.js worker路径:', pdfjsWorkerUrl); -} catch (error) { - console.warn('设置PDF.js worker路径时出错:', error.message); -} - -// 测试配置 -const CONFIG = { - // 测试PDF文件路径 - pdfPath: path.join(__dirname, 'samples', '2.pdf'), - - // 输出目录 - outputDir: path.join(__dirname, 'output', 'full_images'), - - // 是否绘制边界框 - drawBoundingBox: true, - - // 缩放比例 - scale: 2 -}; - -/** - * 测试完整的PDF到图像转换流程 - */ -async function testFullPdfToImage() { - console.log('=== 测试完整的PDF到图像转换流程 ==='); - - try { - // 确保输出目录存在 - await fs.ensureDir(CONFIG.outputDir); - - // 检查PDF文件是否存在 - if (!await fs.pathExists(CONFIG.pdfPath)) { - console.error(`错误: 测试PDF文件不存在: ${CONFIG.pdfPath}`); - console.log('请将测试PDF文件放在 test/samples 目录下，并更新 CONFIG.pdfPath'); - return; - } - - console.log(`加载PDF文件: ${CONFIG.pdfPath}`); - - // 第一步：解析PDF获取所有区域 - console.log('\n步骤1: 解析PDF获取所有区域...'); - const startParseTime = Date.now(); - const pageRects = await parsePdfRects(CONFIG.pdfPath); - const endParseTime = Date.now(); - - if (!pageRects || pageRects.length === 0) { - console.log('未找到有效区域，测试结束'); - return; - } - - console.log(`解析完成，耗时: ${(endParseTime - startParseTime) / 1000}秒`); - console.log(`共 ${pageRects.length} 页`); - - // 记录矩形数量 - let totalRects = 0; - for (const { pageIndex, rects } of pageRects) { - console.log(`页面 ${pageIndex + 1}: ${rects.length} 个矩形`); - totalRects += rects.length; - } - console.log(`总计 ${totalRects} 个矩形`); - - // 第二步：生成所有区域的图像 - console.log('\n步骤2: 生成所有区域的图像...'); - const startGenTime = Date.now(); - const imageInfos = await generateImagesFromPdf( - CONFIG.pdfPath, - pageRects, - CONFIG.outputDir, - CONFIG.drawBoundingBox, - CONFIG.scale - ); - const endGenTime = Date.now(); - - console.log(`图像生成完成，耗时: ${(endGenTime - startGenTime) / 1000}秒`); - - // 输出图像生成结果 - console.log(`\n生成了 ${imageInfos.length} 页的图像:`); - - let totalImages = 0; - for (let i = 0; i < imageInfos.length; i++) { - const { pageImage, rectImages } = imageInfos[i]; - console.log(`页面 ${i + 1}:`); - - // 输出页面图像路径 - console.log(` 页面图像: ${pageImage}`); - - // 输出区域图像路径 - console.log(` 区域图像 (${rectImages.length} 个):`); - for (let j = 0; j < rectImages.length; j++) { - console.log(` - ${rectImages[j]}`); - } - - totalImages += rectImages.length + 1; // +1 是页面图像 - } - - console.log(`\n总共生成了 ${totalImages} 张图像，包括 ${imageInfos.length} 张完整页面图像和 ${totalImages - imageInfos.length} 张区域图像`); - console.log(`所有图像已保存到: ${CONFIG.outputDir}`); - - } catch (error) { - console.error('测试过程中发生错误:', error); - } - - console.log(''); -} - -/** - * 主函数 - */ -async function main() { - console.log('开始测试完整的PDF到图像转换...\n'); - - // 测试完整流程 - await testFullPdfToImage(); - - console.log('PDF到图像转换测试完成'); -} - -// 运行测试 -main().catch(error => { - console.error('测试过程中发生错误:', error); -}); diff --git a/test/testFullPageImages.js b/test/testFullPageImages.js deleted file mode 100644 index e8d98f0..0000000 --- a/test/testFullPageImages.js +++ /dev/null @@ -1,88 +0,0 @@ -/** - * 测试直接生成整页PDF图像功能 - * 不使用区域识别，简化处理流程 - */ - -import fs from 'fs-extra'; -import path from 'path'; -import { fileURLToPath } from 'url'; -import { generateFullPageImages } from '../src/imageGenerator.js'; - -// 获取当前文件的目录 -const __filename = fileURLToPath(import.meta.url); -const __dirname = path.dirname(__filename); - -// 测试配置 -const CONFIG = { - // 测试PDF文件路径 - pdfPath: path.join(__dirname, 'samples', '2.pdf'), - - // 输出目录 - outputDir: path.join(__dirname, 'output', 'full_pages'), - - // 缩放比例 - scale: 3 -}; - -/** - * 测试整页PDF图像生成 - */ -async function testFullPageImageGeneration() { - console.log('=== 测试整页PDF图像生成 ==='); - - try { - // 确保输出目录存在 - await fs.ensureDir(CONFIG.outputDir); - - // 检查PDF文件是否存在 - if (!await fs.pathExists(CONFIG.pdfPath)) { - console.error(`错误: 测试PDF文件不存在: ${CONFIG.pdfPath}`); - return; - } - - console.log(`加载PDF文件: ${CONFIG.pdfPath}`); - - // 开始时间 - const startTime = Date.now(); - - // 执行转换 - const imageFiles = await generateFullPageImages( - CONFIG.pdfPath, - CONFIG.outputDir, - CONFIG.scale - ); - - // 结束时间 - const endTime = Date.now(); - - // 输出结果 - console.log(`\n转换完成，耗时: ${(endTime - startTime) / 1000}秒`); - console.log(`生成了 ${imageFiles.length} 个页面图像:`); - - for (const file of imageFiles) { - console.log(`- ${file}`); - } - - console.log(`\n所有图像已保存到: ${CONFIG.outputDir}`); - - } catch (error) { - console.error('测试过程中发生错误:', error); - } -} - -/** - * 主函数 - */ -async function main() { - console.log('开始测试整页PDF图像生成...\n'); - - // 测试整页图像生成 - await testFullPageImageGeneration(); - - console.log('整页PDF图像生成测试完成'); -} - -// 执行测试 -main().catch(error => { - console.error('执行测试时发生错误:', error); -}); diff --git a/test/testFullProcess.js b/test/testFullProcess.js deleted file mode 100644 index 5e3dfae..0000000 --- a/test/testFullProcess.js +++ /dev/null @@ -1,132 +0,0 @@ -/** - * 完整流程测试 - * 用于测试PDF转Markdown的整个流程 - */ -import fs from 'fs'; -import path from 'path'; -import { fileURLToPath } from 'url'; -import { parsePdf } from '../src/index.js'; - -// 获取当前文件的目录 -const __filename = fileURLToPath(import.meta.url); -const __dirname = path.dirname(__filename); - -// 定义进度状态 -const progressState = { current: 0, total: 0, taskStatus: "pending" }; - -// 测试配置 -const CONFIG = { - // 测试PDF文件路径 - pdfPath: path.join(__dirname, 'samples', '2.pdf'), - - // 输出目录 - outputDir: path.join(__dirname, 'output'), - - // API密钥 (从环境变量获取或手动设置) - apiKey: process.env.DOUBAO_API_KEY || '', - - // 模型配置 - model: 'doubao-1.5-vision-pro-32k-250115', - endpoint: 'https://ark.cn-beijing.volces.com/api/v3/', - - // 使用全页模式 - useFullPage: true, - - // 是否保留中间生成的图像文件 - verbose: true, - - // 并发处理数量 - concurrency: 5 -}; - -/** - * 测试完整的PDF转Markdown流程 - */ -async function testFullProcess() { - console.log('=== 测试完整的PDF转Markdown流程 ==='); - - try { - // 确保输出目录存在 - if (!fs.existsSync(CONFIG.outputDir)) { - fs.mkdirSync(CONFIG.outputDir, { recursive: true }); - } - - // 检查PDF文件是否存在 - if (!fs.existsSync(CONFIG.pdfPath)) { - console.error(`错误: 测试PDF文件不存在: ${CONFIG.pdfPath}`); - console.log('请将测试PDF文件放在 test/samples 目录下，并更新 CONFIG.pdfPath'); - return; - } - - console.log(`处理PDF文件: ${CONFIG.pdfPath}`); - console.log(`使用模型: ${CONFIG.model}`); - - // 开始处理 - const startTime = Date.now(); - - let parseResult = null; - - parsePdf(CONFIG.pdfPath, { - outputDir: CONFIG.outputDir, - apiKey: CONFIG.apiKey, - baseUrl: CONFIG.endpoint, - model: CONFIG.model, - verbose: CONFIG.verbose, - gptWorker: CONFIG.concurrency, - useFullPage: CONFIG.useFullPage, // 添加useFullPage参数 - concurrency: CONFIG.concurrency, - //增加处理进度结果回调 - onProgress: ({ current, total, taskStatus }) => { - progressState.current = current; - progressState.total = total; - progressState.taskStatus = taskStatus; - } - }).then(result => { - parseResult = result; - }); - - // 如果需要主动查询 - await new Promise((resolve) => { - const interval = setInterval(() => { - console.log(`[主动查询] 进度: ${progressState.current}/${progressState.total},${progressState.taskStatus}`); - if (progressState.taskStatus === "finished") { - clearInterval(interval); - resolve(); - } - }, 1000); - }); - - const endTime = Date.now(); - - console.log(`\n处理完成，耗时: ${(endTime - startTime) / 1000}秒`); - console.log(`生成的Markdown文件: ${parseResult.mdFilePath}`); - console.log(`生成的图像文件数量: ${parseResult.imageFiles.length}`); - - // 显示Markdown内容预览 - const mdContent = fs.readFileSync(parseResult.mdFilePath, 'utf-8'); - const previewLength = Math.min(500, mdContent.length); - - console.log('\nMarkdown内容预览:'); - console.log('-----------------------------------'); - console.log(mdContent.substring(0, previewLength) + (mdContent.length > previewLength ? '...' : '')); - console.log('-----------------------------------'); - - } catch (error) { - console.error('处理PDF时发生错误:', error); - } -} - -/** - * 主函数 - */ -async function main() { - console.log('开始测试完整流程...\n'); - - // 测试完整流程 - await testFullProcess(); - - console.log('\n完整流程测试完成'); -} - -// 运行测试 -main(); diff --git a/test/testImageGenerator.js b/test/testImageGenerator.js deleted file mode 100644 index b1bdfab..0000000 --- a/test/testImageGenerator.js +++ /dev/null @@ -1,103 +0,0 @@ -/** - * 图像生成模块测试 - * 用于测试PDF区域转图像功能 - */ -import fs from 'fs'; -import path from 'path'; -import { fileURLToPath } from 'url'; -import { getDocument } from 'pdfjs-dist/legacy/build/pdf.js'; -import { renderRectToImage } from '../src/imageGenerator.js'; - -// 获取当前文件的目录 -const __filename = fileURLToPath(import.meta.url); -const __dirname = path.dirname(__filename); - -// 设置PDF.js的worker路径 -try { - // 3.x 版本的设置方式 - const pdfjsWorker = path.join(__dirname, '..', 'node_modules/pdfjs-dist/legacy/build/pdf.worker.js'); - const pdfjsWorkerUrl = new URL(`file://${pdfjsWorker}`).href; - - // 全局设置worker路径 - globalThis.pdfjsWorkerSrc = pdfjsWorkerUrl; - - console.log('设置PDF.js worker路径:', pdfjsWorkerUrl); -} catch (error) { - console.warn('设置PDF.js worker路径时出错:', error.message); -} - -// 测试配置 -const CONFIG = { - // 测试PDF文件路径 - pdfPath: path.join(__dirname, 'samples', 'sample.pdf'), - - // 输出目录 - outputDir: path.join(__dirname, 'output'), - - // 测试区域 [x0, y0, x1, y1] - testRect: [100, 100, 300, 200] -}; - -/** - * 测试渲染PDF区域为图像 - */ -async function testRenderRectToImage() { - console.log('=== 测试渲染PDF区域为图像 ==='); - - try { - // 确保输出目录存在 - if (!fs.existsSync(CONFIG.outputDir)) { - fs.mkdirSync(CONFIG.outputDir, { recursive: true }); - } - - // 检查PDF文件是否存在 - if (!fs.existsSync(CONFIG.pdfPath)) { - console.error(`错误: 测试PDF文件不存在: ${CONFIG.pdfPath}`); - console.log('请将测试PDF文件放在 test/samples 目录下，并更新 CONFIG.pdfPath'); - return; - } - - console.log(`加载PDF文件: ${CONFIG.pdfPath}`); - - // 加载PDF文档 - const data = new Uint8Array(fs.readFileSync(CONFIG.pdfPath)); - const pdfDocument = await getDocument({ data }).promise; - - console.log(`PDF加载成功，共 ${pdfDocument.numPages} 页`); - - // 获取第一页 - const page = await pdfDocument.getPage(1); - - console.log(`渲染区域: [${CONFIG.testRect.join(', ')}]`); - - // 渲染区域为图像 - const imageBuffer = await renderRectToImage(page, CONFIG.testRect, 2); - - // 保存图像 - const outputPath = path.join(CONFIG.outputDir, 'test_rect.png'); - fs.writeFileSync(outputPath, imageBuffer); - - console.log(`图像已保存到: ${outputPath}`); - console.log(`图像大小: ${(imageBuffer.length / 1024).toFixed(2)} KB`); - - } catch (error) { - console.error('渲染区域为图像时发生错误:', error); - } - - console.log(''); -} - -/** - * 主函数 - */ -async function main() { - console.log('开始测试图像生成模块...\n'); - - // 测试渲染区域为图像 - await testRenderRectToImage(); - - console.log('图像生成模块测试完成'); -} - -// 运行测试 -main(); diff --git a/test/testModel.js b/test/testModel.js deleted file mode 100644 index a53c5f8..0000000 --- a/test/testModel.js +++ /dev/null @@ -1,109 +0,0 @@ -/** - * 简化版模型测试工具 - * 用于测试不同视觉模型的处理能力 - */ -import fs from 'fs'; -import path from 'path'; -import { fileURLToPath } from 'url'; -import ModelClient from '../src/modelClient.js'; - -// 获取当前文件的目录 -const __filename = fileURLToPath(import.meta.url); -const __dirname = path.dirname(__filename); - -// 测试配置 -const CONFIG = { - // 要测试的模型 - model: 'doubao-1.5-vision-pro-32k-250115', // 可选: gpt-4-vision-preview, gpt-4o, claude-3-opus-20240229, gemini-pro-vision - - // API密钥 (也可以从环境变量中获取) - apiKey: process.env.DOUBAO_API_KEY || '', - - // 自定义API端点 (可选) - endpoint: 'https://ark.cn-beijing.volces.com/api/v3/', - - // 测试图片路径 - imagePath: path.join(__dirname, 'images', 'test.png'), - - // 提示词 - prompt: `使用markdown语法，将图片中识别到的文字转换为markdown格式输出。你必须做到： -1. 输出和使用识别到的图片的相同的语言，例如，识别到英语的字段，输出的内容必须是英语。 -2. 不要解释和输出无关的文字，直接输出图片中的内容。 -3. 内容不要包含在\`\`\`markdown \`\`\`中、段落公式使用 $$ $$ 的形式、行内公式使用 $ $ 的形式。`, - - // 是否保存结果到文件 - saveResult: true, - - // 结果保存目录 - resultsDir: path.join(__dirname, 'results') -}; - -/** - * 保存结果到文件 - * @param {string} result 处理结果 - * @param {string} modelId 模型ID - */ -async function saveResult(result, modelId) { - // 确保结果目录存在 - if (!fs.existsSync(CONFIG.resultsDir)) { - fs.mkdirSync(CONFIG.resultsDir, { recursive: true }); - } - - const timestamp = new Date().toISOString().replace(/[:.]/g, '-'); - const filename = `${modelId}_${timestamp}.md`; - const filePath = path.join(CONFIG.resultsDir, filename); - - fs.writeFileSync(filePath, result); - console.log(`\n结果已保存到: ${filePath}`); -} - -/** - * 主函数 - */ -async function main() { - try { - console.log('=== 视觉模型测试工具 (简化版) ===\n'); - - // 确保测试图片存在 - if (!fs.existsSync(CONFIG.imagePath)) { - console.error(`错误: 测试图片不存在: ${CONFIG.imagePath}`); - console.log('请将测试图片放在 test/images 目录下，并更新 CONFIG.imagePath'); - return; - } - - console.log(`测试模型: ${CONFIG.model}`); - console.log(`测试图片: ${path.basename(CONFIG.imagePath)}`); - - // 创建模型客户端 - const modelClient = new ModelClient({ - apiKey: CONFIG.apiKey, - model: CONFIG.model, - endpoint: CONFIG.endpoint - }); - - console.log('\n开始处理图像...'); - - // 处理图像 - const startTime = Date.now(); - const result = await modelClient.processImage(CONFIG.imagePath, CONFIG.prompt, { - model: CONFIG.model, - endpoint: CONFIG.endpoint - }); - const endTime = Date.now(); - - console.log(`\n处理完成，耗时: ${(endTime - startTime) / 1000}秒`); - console.log('\n=== 处理结果 ===\n'); - console.log(result); - - // 保存结果 - if (CONFIG.saveResult) { - await saveResult(result, CONFIG.model); - } - - } catch (error) { - console.error('发生错误:', error); - } -} - -// 运行主函数 -main(); \ No newline at end of file diff --git a/test/testPdfParser.js b/test/testPdfParser.js deleted file mode 100644 index 729ebfd..0000000 --- a/test/testPdfParser.js +++ /dev/null @@ -1,113 +0,0 @@ -/** - * PDF解析模块测试 - * 用于测试PDF文件解析和区域识别功能 - */ -import fs from 'fs'; -import path from 'path'; -import { fileURLToPath } from 'url'; -import pkg from 'pdfjs-dist/legacy/build/pdf.js'; -const { getDocument } = pkg; -import { parseRects, parsePdfRects } from '../src/pdfParser.js'; - -// 获取当前文件的目录 -const __filename = fileURLToPath(import.meta.url); -const __dirname = path.dirname(__filename); - -// 设置PDF.js的worker路径 -try { - const pdfjsWorker = path.join(__dirname, '..', 'node_modules/pdfjs-dist/legacy/build/pdf.worker.js'); - const pdfjsWorkerUrl = new URL(`file://${pdfjsWorker}`).href; - - // 全局设置worker路径 - globalThis.pdfjsWorkerSrc = pdfjsWorkerUrl; - - console.log('设置PDF.js worker路径:', pdfjsWorkerUrl); -} catch (error) { - console.warn('设置PDF.js worker路径时出错:', error.message); -} - -// 测试配置 -const CONFIG = { - // 测试PDF文件路径 - pdfPath: path.join(__dirname, 'samples', '1.pdf'), - - // 输出目录 - outputDir: path.join(__dirname, 'output') -}; - -/** - * 测试PDF区域识别功能 - */ -async function testParseRects() { - console.log('=== 测试PDF区域识别功能 ==='); - - try { - // 确保输出目录存在 - if (!fs.existsSync(CONFIG.outputDir)) { - fs.mkdirSync(CONFIG.outputDir, { recursive: true }); - } - - // 检查PDF文件是否存在 - if (!fs.existsSync(CONFIG.pdfPath)) { - console.error(`错误: 测试PDF文件不存在: ${CONFIG.pdfPath}`); - console.log('请将测试PDF文件放在 test/samples 目录下，并更新 CONFIG.pdfPath'); - return; - } - - console.log(`加载PDF文件: ${CONFIG.pdfPath}`); - - // 加载PDF文档 - const data = new Uint8Array(fs.readFileSync(CONFIG.pdfPath)); - const pdf = await getDocument({ data }).promise; - - console.log(`PDF加载成功，共 ${pdf.numPages} 页`); - - // 处理每一页 - for (let i = 1; i <= Math.min(pdf.numPages, 3); i++) { - console.log(`\n处理第 ${i} 页...`); - - // 获取页面 - const page = await pdf.getPage(i); - - // 解析区域 - const startTime = Date.now(); - const rects = await parseRects(page); - const endTime = Date.now(); - - console.log(`识别出 ${rects.length} 个区域，耗时: ${(endTime - startTime) / 1000}秒`); - - // 输出前5个区域的坐标 - if (rects.length > 0) { - console.log('前5个区域的坐标:'); - rects.slice(0, 5).forEach((rect, index) => { - console.log(` 区域 ${index + 1}: [${rect.map(v => v.toFixed(2)).join(', ')}]`); - }); - } - - // 保存区域信息到JSON文件 - const outputPath = path.join(CONFIG.outputDir, `page_${i}_rects.json`); - fs.writeFileSync(outputPath, JSON.stringify(rects, null, 2)); - console.log(`区域信息已保存到: ${outputPath}`); - } - - } catch (error) { - console.error('解析PDF区域时发生错误:', error); - } - - console.log(''); -} - -/** - * 主函数 - */ -async function main() { - console.log('开始测试PDF解析模块...\n'); - - // 测试PDF区域识别 - await testParseRects(); - - console.log('PDF解析模块测试完成'); -} - -// 运行测试 -main(); diff --git a/test/testRectProcessor.js b/test/testRectProcessor.js deleted file mode 100644 index 34e893a..0000000 --- a/test/testRectProcessor.js +++ /dev/null @@ -1,119 +0,0 @@ -/** - * 矩形处理模块测试 - * 用于测试矩形合并、吸附等功能 - */ -import fs from 'fs'; -import path from 'path'; -import { fileURLToPath } from 'url'; -import * as turf from '@turf/turf'; -import { mergeRects, adsorbRectsToRects, filterSmallRects } from '../src/rectProcessor.js'; -import { createRect } from '../src/utils.js'; - -// 获取当前文件的目录 -const __filename = fileURLToPath(import.meta.url); -const __dirname = path.dirname(__filename); - -// 测试数据 -const TEST_RECTS = [ - // 两个相近的矩形 - createRect([10, 10, 30, 20]), - createRect([32, 12, 50, 22]), - - // 两个远离的矩形 - createRect([100, 100, 120, 120]), - createRect([200, 200, 220, 220]), - - // 一个水平线 - createRect([10, 50, 100, 51]), - - // 一个小矩形 - createRect([300, 300, 305, 305]) -]; - -/** - * 测试矩形合并功能 - */ -function testMergeRects() { - console.log('=== 测试矩形合并功能 ==='); - - // 测试1: 合并相近的矩形 - const mergedRects1 = mergeRects(TEST_RECTS.slice(0, 2), 5); - console.log(`合并相近矩形 (距离=5): 期望合并成1个，实际合并成 ${mergedRects1.length} 个`); - - // 测试2: 不合并远离的矩形 - const mergedRects2 = mergeRects(TEST_RECTS.slice(2, 4), 5); - console.log(`合并远离矩形 (距离=5): 期望保持2个，实际合并成 ${mergedRects2.length} 个`); - - // 测试3: 水平线合并 - const horizontalTestRects = [ - createRect([10, 50, 100, 51]), - createRect([10, 80, 100, 81]) - ]; - const mergedRects3 = mergeRects(horizontalTestRects, 5, 50); - console.log(`水平线合并 (水平距离=50): 期望合并成1个，实际合并成 ${mergedRects3.length} 个`); - - console.log(''); -} - -/** - * 测试矩形吸附功能 - */ -function testAdsorbRects() { - console.log('=== 测试矩形吸附功能 ==='); - - // 源矩形 - const sourceRects = [ - createRect([15, 15, 25, 25]), - createRect([150, 150, 160, 160]) - ]; - - // 目标矩形 - const targetRects = [ - createRect([10, 10, 30, 30]), - createRect([200, 200, 220, 220]) - ]; - - // 测试吸附 - const [remainingSourceRects, updatedTargetRects] = adsorbRectsToRects(sourceRects, targetRects, 10); - - console.log(`吸附前: 源矩形=${sourceRects.length}个, 目标矩形=${targetRects.length}个`); - console.log(`吸附后: 未吸附源矩形=${remainingSourceRects.length}个, 更新后目标矩形=${updatedTargetRects.length}个`); - - console.log(''); -} - -/** - * 测试小矩形过滤功能 - */ -function testFilterSmallRects() { - console.log('=== 测试小矩形过滤功能 ==='); - - // 测试过滤 - const filteredRects = filterSmallRects(TEST_RECTS, 10, 10); - - console.log(`过滤前矩形数量: ${TEST_RECTS.length}`); - console.log(`过滤后矩形数量: ${filteredRects.length}`); - - console.log(''); -} - -/** - * 主函数 - */ -function main() { - console.log('开始测试矩形处理模块...\n'); - - // 测试矩形合并 - testMergeRects(); - - // 测试矩形吸附 - testAdsorbRects(); - - // 测试小矩形过滤 - testFilterSmallRects(); - - console.log('矩形处理模块测试完成'); -} - -// 运行测试 -main(); diff --git a/test/testSimpleFullProcess.js b/test/testSimpleFullProcess.js deleted file mode 100644 index acf8a4a..0000000 --- a/test/testSimpleFullProcess.js +++ /dev/null @@ -1,165 +0,0 @@ -/** - * 简化版完整流程测试 - * 使用整页图像功能，直接处理PDF页面 - */ -import fs from 'fs'; -import path from 'path'; -import { fileURLToPath } from 'url'; -import { generateFullPageImages } from '../src/imageGenerator.js'; -import { processImage } from '../src/modelClient.js'; -import { generateMarkdown } from '../src/markdownConverter.js'; - -// 获取当前文件的目录 -const __filename = fileURLToPath(import.meta.url); -const __dirname = path.dirname(__filename); - -// 测试配置 -const CONFIG = { - // 测试PDF文件路径 - pdfPath: path.join(__dirname, 'samples', 'sample.pdf'), - - // 输出目录 - outputDir: path.join(__dirname, 'output'), - - // 图像输出目录 - imageOutputDir: path.join(__dirname, 'output', 'pages'), - - // API密钥 (从环境变量获取或手动设置) - apiKey: process.env.DOUBAO_API_KEY || 'your-api-key-here', - - // 模型配置 - model: 'doubao-1.5-vision-pro-32k-250115', - endpoint: 'https://ark.cn-beijing.volces.com/api/v3/', - - // 是否保留中间生成的图像文件 - verbose: true, - - // 缩放比例 - scale: 3 -}; - -/** - * 简化版PDF转Markdown流程 - */ -async function simpleFullProcess() { - console.log('=== 测试简化版PDF转Markdown流程 ==='); - - try { - // 确保输出目录存在 - if (!fs.existsSync(CONFIG.outputDir)) { - fs.mkdirSync(CONFIG.outputDir, { recursive: true }); - } - - if (!fs.existsSync(CONFIG.imageOutputDir)) { - fs.mkdirSync(CONFIG.imageOutputDir, { recursive: true }); - } - - // 检查PDF文件是否存在 - if (!fs.existsSync(CONFIG.pdfPath)) { - console.error(`错误: 测试PDF文件不存在: ${CONFIG.pdfPath}`); - console.log('请将测试PDF文件放在 test/samples 目录下，并更新 CONFIG.pdfPath'); - return; - } - - console.log(`处理PDF文件: ${CONFIG.pdfPath}`); - console.log(`使用模型: ${CONFIG.model}`); - - // 步骤1: 生成整页图像 - console.log('\n步骤1: 生成整页图像...'); - const startImageTime = Date.now(); - const imageFiles = await generateFullPageImages( - CONFIG.pdfPath, - CONFIG.imageOutputDir, - CONFIG.scale - ); - const endImageTime = Date.now(); - console.log(`生成整页图像完成，耗时: ${(endImageTime - startImageTime) / 1000}秒`); - console.log(`共生成 ${imageFiles.length} 张页面图像`); - - // 步骤2: 处理每个页面图像 - console.log('\n步骤2: 使用视觉模型处理图像...'); - const startProcessTime = Date.now(); - - const pageContents = []; - for (let i = 0; i < imageFiles.length; i++) { - const imagePath = imageFiles[i]; - console.log(`处理图像 ${i + 1}/${imageFiles.length}: ${path.basename(imagePath)}`); - - // 读取图像文件 - const imageData = fs.readFileSync(imagePath); - const base64Image = imageData.toString('base64'); - - // 调用模型处理图像 - const pageContent = await processImage( - base64Image, - CONFIG.model, - CONFIG.apiKey, - CONFIG.endpoint - ); - - // 添加页面内容 - pageContents.push({ - pageIndex: i, - content: pageContent - }); - } - - const endProcessTime = Date.now(); - console.log(`图像处理完成，耗时: ${(endProcessTime - startProcessTime) / 1000}秒`); - - // 步骤3: 生成Markdown文档 - console.log('\n步骤3: 生成Markdown文档...'); - const startMdTime = Date.now(); - - // 生成Markdown文件名 - const pdfBaseName = path.basename(CONFIG.pdfPath, '.pdf'); - const mdFilePath = path.join(CONFIG.outputDir, `${pdfBaseName}_simple.md`); - - // 生成Markdown内容 - const mdContent = generateMarkdown(pageContents); - - // 保存Markdown文件 - fs.writeFileSync(mdFilePath, mdContent, 'utf-8'); - - const endMdTime = Date.now(); - console.log(`Markdown生成完成，耗时: ${(endMdTime - startMdTime) / 1000}秒`); - - // 计算总耗时 - const totalTime = (endMdTime - startImageTime) / 1000; - - console.log(`\n处理完成，总耗时: ${totalTime}秒`); - console.log(`生成的Markdown文件: ${mdFilePath}`); - console.log(`生成的图像文件数量: ${imageFiles.length}`); - - // 显示Markdown内容预览 - const previewLength = Math.min(500, mdContent.length); - - console.log('\nMarkdown内容预览:'); - console.log('-----------------------------------'); - console.log(mdContent.substring(0, previewLength) + (mdContent.length > previewLength ? '...' : '')); - console.log('-----------------------------------'); - - return { - mdFilePath, - imageFiles - }; - - } catch (error) { - console.error('处理PDF时发生错误:', error); - } -} - -/** - * 主函数 - */ -async function main() { - console.log('开始测试简化版完整流程...\n'); - - // 测试简化版完整流程 - await simpleFullProcess(); - - console.log('\n简化版完整流程测试完成'); -} - -// 运行测试 -main(); diff --git a/test/testSimpleImageGeneration.js b/test/testSimpleImageGeneration.js deleted file mode 100644 index 44b135c..0000000 --- a/test/testSimpleImageGeneration.js +++ /dev/null @@ -1,156 +0,0 @@ -/** - * 简化版PDF到图像转换测试 - * 这个版本只生成完整页面图像，不再分割为子图 - */ - -const fs = require('fs-extra'); -const path = require('path'); -const { createCanvas } = require('canvas'); -const sharp = require('sharp'); -const pdfjsLib = require('pdfjs-dist/legacy/build/pdf.js'); - -// 设置PDF.js的worker路径 -try { - const pdfjsWorker = path.join(__dirname, '..', 'node_modules/pdfjs-dist/legacy/build/pdf.worker.js'); - const pdfjsWorkerUrl = new URL(`file://${pdfjsWorker}`).href; - - // 全局设置worker路径 - globalThis.pdfjsWorkerSrc = pdfjsWorkerUrl; - - console.log('设置PDF.js worker路径:', pdfjsWorkerUrl); -} catch (error) { - console.warn('设置PDF.js worker路径时出错:', error.message); -} - -// 测试配置 -const CONFIG = { - // 测试PDF文件路径 - pdfPath: path.join(__dirname, 'samples', '1.pdf'), - - // 输出目录 - outputDir: path.join(__dirname, 'output', 'simple_images'), - - // 缩放比例 - 可以调整以获得更高清晰度的图像 - scale: 3 -}; - -/** - * 简化版PDF到图像转换函数 - 每页生成一个完整图像 - * @param {Buffer} pdfData PDF文件数据 - * @param {string} outputDir 输出目录 - * @param {number} scale 缩放比例 - * @returns {Promise>} 生成的图像文件路径数组 - */ -async function generateImagesFromPdf(pdfData, outputDir, scale = 3) { - // 确保输出目录存在 - await fs.ensureDir(outputDir); - - // 加载PDF文档 - const pdfDocument = await pdfjsLib.getDocument({ data: pdfData }).promise; - const numPages = pdfDocument.numPages; - console.log(`PDF文档共 ${numPages} 页`); - - // 存储生成的图像路径 - const pageImages = []; - - // 处理每一页 - for (let i = 0; i < numPages; i++) { - const pageIndex = i + 1; - console.log(`处理第 ${pageIndex} 页...`); - - // 获取页面 - const page = await pdfDocument.getPage(pageIndex); - const viewport = page.getViewport({ scale }); - - // 创建canvas - const canvas = createCanvas(viewport.width, viewport.height); - const context = canvas.getContext('2d'); - - // 填充白色背景 - context.fillStyle = '#ffffff'; - context.fillRect(0, 0, viewport.width, viewport.height); - - // 渲染页面 - await page.render({ - canvasContext: context, - viewport: viewport - }).promise; - - // 保存为图像 - const imageName = `page_${pageIndex}.png`; - const imagePath = path.join(outputDir, imageName); - - // 将canvas转换为图像并保存 - const buffer = await sharp(canvas.toBuffer('image/png')).png().toBuffer(); - await fs.writeFile(imagePath, buffer); - - // 添加到结果数组 - pageImages.push(imagePath); - - console.log(`页面 ${pageIndex} 已保存到: ${imagePath}`); - } - - return pageImages; -} - -/** - * 测试简化版PDF到图像转换 - */ -async function testSimplePdfToImage() { - console.log('=== 测试简化版PDF到图像转换 ==='); - - try { - // 确保输出目录存在 - await fs.ensureDir(CONFIG.outputDir); - - // 检查PDF文件是否存在 - if (!await fs.pathExists(CONFIG.pdfPath)) { - console.error(`错误: 测试PDF文件不存在: ${CONFIG.pdfPath}`); - return; - } - - console.log(`加载PDF文件: ${CONFIG.pdfPath}`); - - // 读取PDF文件 - const pdfData = await fs.readFile(CONFIG.pdfPath); - - // 开始时间 - const startTime = Date.now(); - - // 执行转换 - const imageFiles = await generateImagesFromPdf(pdfData, CONFIG.outputDir, CONFIG.scale); - - // 结束时间 - const endTime = Date.now(); - - // 输出结果 - console.log(`\n转换完成，耗时: ${(endTime - startTime) / 1000}秒`); - console.log(`生成了 ${imageFiles.length} 个页面图像:`); - - for (const file of imageFiles) { - console.log(`- ${file}`); - } - - console.log(`\n所有图像已保存到: ${CONFIG.outputDir}`); - - } catch (error) { - console.error('测试过程中发生错误:', error); - } -} - -/** - * 主函数 - */ -async function main() { - console.log('开始测试简化版PDF到图像转换...\n'); - - // 测试简化流程 - await testSimplePdfToImage(); - - console.log('简化版PDF到图像转换测试完成'); -} - -// 执行测试 -main().catch(error => { - console.error('执行测试时发生错误:', error); -});