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Markdown 内容（支持 v-model） |\n| `editable` | Boolean | `false` | 是否启用编辑模式 |\n| `defaultShowEditor` | Boolean | `true` | 编辑器初始显示状态（仅在 editable 为 true 时有效） |\n| `datasource` | Object | - | 数据源配置对象（可选） |\n\n### 组件事件\n\n| 事件名 | 参数 | 说明 |\n|--------|------|------|\n| `update:content` | `(content: string)` | 内容更新时触发 |\n| `errors` | `(errors: Array)` | 渲染错误时触发，返回错误数组 |\n\n#### 错误对象格式\n\n```javascript\n{\n line: 10, // 错误所在行号\n type: 'ECharts', // 错误类型：ECharts, Dataset, Mermaid, Container\n message: '配置错误', // 错误描述\n code: '```echarts...', // 相关代码片段\n severity: 'error' // 错误级别\n}\n```\n\n#### 错误收集说明\n\n组件会自动收集以下类型的渲染错误：\n\n- **ECharts 错误**：图表配置错误、数据格式错误等\n- **Mermaid 错误**：流程图语法错误\n- **Dataset 错误**：数据集格式错误、数据源查询失败等\n- **Container 错误**：容器配置错误（如 cell 宽度超出范围）\n\n错误会在渲染完成后自动收集，并通过 `@errors` 事件传递给外部。你可以：\n\n1. **监听事件**：`@errors=\"handleErrors\"` 实时获取错误\n2. **主动获取**：`this.$refs.editor.getErrors()` 获取当前错误列表\n\n### 基础用法\n\n```vue\n\n\n\n```\n\n### 控制编辑器显示状态\n\n```vue\n\n\n\n```\n\n### 使用数据源功能\n\n要使用数据源查询功能，需要注入 `datasource` 属性：\n\n```vue\n\n\n\n```\n\n## 数据源配置\n\n### 数据源函数接口\n\n`datasource` 对象必须包含以下函数：\n\n```javascript\n{\n // 获取数据源数据\n getDataSource(sourceId, sql, options) => Promise\n \n // 获取数据源列表\n getDataSourceList() => Array\n \n // 清除数据缓存\n clearDataSourceCache(sourceId) => void\n \n // 测试数据源连接\n testDataSourceConnection(sourceId) => Promise\n}\n```\n\n### 内置数据源\n\n项目内置了以下模拟数据源：\n\n- **sales_db** - 销售数据库（MySQL）\n- **user_db** - 用户数据库（PostgreSQL） \n- **finance_db** - 财务数据库（Oracle）\n\n### 自定义数据源\n\n您可以创建自定义数据源函数：\n\n```javascript\n// 自定义数据源函数示例\nconst customDatasource = {\n async getDataSource(sourceId, sql, options = {}) {\n // 实现数据获取逻辑\n return {\n source: [], // 数据数组\n dimensions: [], // 维度字段\n metadata: {\n sourceId: sourceId,\n sql: sql,\n count: 0,\n timestamp: new Date().toISOString()\n }\n }\n },\n \n getDataSourceList() {\n return [\n {\n id: 'my_db',\n name: '我的数据库',\n type: 'mysql',\n description: '自定义数据源'\n }\n ]\n },\n \n clearDataSourceCache(sourceId = null) {\n // 清除缓存逻辑\n },\n \n async testDataSourceConnection(sourceId) {\n return true\n }\n}\n```\n\n## 特有插件语法\n\n### 1. ECharts 图表\n\n使用 `echarts` 代码块渲染图表：\n\n````markdown\n```echarts\n{\n \"title\": {\n \"text\": \"销售数据\"\n },\n \"xAxis\": {\n \"type\": \"category\",\n \"data\": [\"一月\", \"二月\", \"三月\"]\n },\n \"yAxis\": {\n \"type\": \"value\"\n },\n \"series\": [{\n \"data\": [120, 200, 150],\n \"type\": \"bar\"\n }]\n}\n```\n````\n\n### 2. Mermaid 流程图\n\n使用 `mermaid` 代码块渲染流程图：\n\n````markdown\n```mermaid\ngraph TD\n A[开始] --> B{条件判断}\n B -->|是| C[执行操作]\n B -->|否| D[结束]\n C --> D\n```\n````\n\n### 3. 数据集功能\n\n使用 `dataset` 代码块定义数据集：\n\n````markdown\n```dataset datasetId: sales_data\n{\n dimensions: [\"产品\", \"2020\", \"2021\", \"2022\"],\n source: [\n {产品: \"产品A\", 2020: 100, 2021: 120, 2022: 150},\n {产品: \"产品B\", 2020: 80, 2021: 90, 2022: 110},\n {产品: \"产品C\", 2020: 60, 2021: 70, 2022: 85}\n ]\n}\n```\n\n然后在 ECharts 中使用数据集：\n\n```echarts\n{\n dataset: dataset['sales_data'],\n title: { text: \"产品销售趋势\" },\n xAxis: { type: \"category\" },\n yAxis: { type: \"value\" },\n series: [{\n type: \"bar\",\n encode: { x: \"产品\", y: \"2020\" }\n }]\n}\n```\n````\n\n#### ⚠️ 使用 dataset + encode 时的注意事项\n\n使用 `dataset` + `encode` 时，formatter 必须用**函数形式**，字符串模板会显示 `[object Object]`：\n\n````markdown\n```echarts\n{\n dataset: dataset['sales_data'],\n series: [{\n type: \"pie\",\n encode: { itemName: \"产品\", value: \"销量\" },\n label: {\n // ❌ 错误：formatter: \"{b}: {c}次 ({d}%)\"\n // ✅ 正确：使用函数\n formatter: function(params) {\n return params.data['产品'] + ': ' + params.data['销量'] + '次 (' + params.percent + '%)';\n }\n }\n }]\n}\n```\n````\n\n### 4. D3.js 可视化\n\n支持使用 D3.js 创建自定义可视化图表，提供两种使用方式：\n\n#### 方式一：JSON 配置（快速创建）\n\n使用预定义的图表类型快速创建可视化：\n\n````markdown\n```d3\n{\n \"type\": \"bar\",\n \"data\": [30, 86, 168, 281, 303, 365],\n \"width\": 600,\n \"height\": 400,\n \"color\": \"#5470c6\"\n}\n```\n````\n\n**支持的图表类型：**\n- `bar` - 柱状图\n- `line` - 折线图\n- `pie` - 饼图\n- `scatter` - 散点图\n\n**配置选项：**\n- `type` - 图表类型（必需）\n- `data` - 数据数组或 dataset 引用（必需）\n- `width` - 图表宽度（默认 600）\n- `height` - 图表高度（默认 400）\n- `color` - 颜色\n- `xField` / `yField` - 数据字段映射\n- `nameField` / `valueField` - 饼图字段映射\n\n#### 方式二：自定义 D3 代码（完全控制）\n\n编写完整的 D3.js 代码实现自定义可视化：\n\n````markdown\n```d3\n// 创建 SVG\nconst svg = d3.select(container)\n .append('svg')\n .attr('width', 600)\n .attr('height', 400);\n\n// 绘制圆圈\nconst data = [10, 20, 30, 40, 50];\nsvg.selectAll('circle')\n .data(data)\n .enter()\n .append('circle')\n .attr('cx', (d, i) => 50 + i * 100)\n .attr('cy', 200)\n .attr('r', d => d)\n .attr('fill', '#5470c6');\n```\n````\n\n**可用变量：**\n- `container` - DOM 容器元素\n- `d3` - D3.js 库对象\n- `dataset` - 数据集对象（访问已定义的数据集）\n- `theme` - 当前主题（'light' 或 'dark'）\n\n#### 与 Dataset 集成\n\nD3 图表可以直接使用 dataset 中定义的数据：\n\n````markdown\n```dataset datasetId: sales_data\n{\n dimensions: [\"产品\", \"销量\"],\n source: [\n { 产品: \"手机\", 销量: 520 },\n { 产品: \"电脑\", 销量: 380 },\n { 产品: \"平板\", 销量: 290 }\n ]\n}\n```\n\n**JSON 配置方式：**\n```d3\n{\n \"type\": \"bar\",\n \"data\": \"dataset['sales_data']\",\n \"xField\": \"产品\",\n \"yField\": \"销量\",\n \"width\": 600,\n \"height\": 400\n}\n```\n\n**自定义代码方式：**\n```d3\n// 获取数据集\nconst data = dataset['sales_data'].source;\n\n// 使用 D3 绘制\nconst svg = d3.select(container)\n .append('svg')\n .attr('width', 600)\n .attr('height', 400);\n\n// ... 更多 D3 代码\n```\n````\n\n#### 主题适配\n\nD3 图表会自动适配明暗主题，可以在代码中使用 `theme` 变量：\n\n````markdown\n```d3\nconst textColor = theme === 'dark' ? '#e0e0e0' : '#000';\n\nsvg.append('text')\n .attr('fill', textColor)\n .text('标题');\n```\n````\n\n### 5. SQL 数据源查询\n\n支持从数据源查询数据，需要先注入 `datasource` 属性：\n\n#### 查询语法格式\n\n支持两种格式的数据源查询：\n\n**格式一：使用 datasourceId 指定数据源**\n\n````markdown\n```dataset datasetId: sql_query_1 datasourceId: sales_db\nSELECT 产品, 年份, 销售额 FROM sales_data WHERE 销售额 > 100\n```\n````\n\n**格式二：使用默认数据源（sales_db）**\n\n````markdown\n```dataset datasetId: sql_query_1\nSELECT 产品, 年份, 销售额 FROM sales_data WHERE 销售额 > 100\n```\n````\n\n#### 使用查询结果\n\n查询结果会自动转换为标准数据集格式，可以在 ECharts 中使用：\n\n```echarts\n{\n dataset: dataset['sql_query_1'],\n title: { text: \"产品销售趋势\" },\n xAxis: { type: \"category\" },\n yAxis: { type: \"value\" },\n series: [{\n type: \"bar\",\n encode: { x: \"产品\", y: \"销售额\" }\n }]\n}\n```\n\n#### 示例：完整的数据源查询\n\n````markdown\n```dataset datasetId: user_analysis datasourceId: user_db\nSELECT 地区, 用户数, 活跃度 FROM user_data WHERE 用户数 > 1000 AND 活跃度 > 0.7\n```\n\n```echarts\n{\n dataset: dataset['user_analysis'],\n title: { text: \"用户分布分析\" },\n xAxis: { type: \"category\" },\n yAxis: { type: \"value\" },\n series: [{\n type: \"bar\",\n encode: { x: \"地区\", y: \"用户数\" }\n }]\n}\n```\n````\n\n### 5. SQL 数据源查询\n\n支持从数据源查询数据，需要先注入 `datasource` 属性：\n\n#### 查询语法格式\n\n支持两种格式的数据源查询：\n\n**格式一：使用 datasourceId 指定数据源**\n\n````markdown\n```dataset datasetId: sql_query_1 datasourceId: sales_db\nSELECT 产品, 年份, 销售额 FROM sales_data WHERE 销售额 > 100\n```\n````\n\n**格式二：使用默认数据源（sales_db）**\n\n````markdown\n```dataset datasetId: sql_query_1\nSELECT 产品, 年份, 销售额 FROM sales_data WHERE 销售额 > 100\n```\n````\n\n#### 使用查询结果\n\n查询结果会自动转换为标准数据集格式，可以在 ECharts 或 D3 中使用：\n\n```echarts\n{\n dataset: dataset['sql_query_1'],\n title: { text: \"产品销售趋势\" },\n xAxis: { type: \"category\" },\n yAxis: { type: \"value\" },\n series: [{\n type: \"bar\",\n encode: { x: \"产品\", y: \"销售额\" }\n }]\n}\n```\n\n#### 示例：完整的数据源查询\n\n````markdown\n```dataset datasetId: user_analysis datasourceId: user_db\nSELECT 地区, 用户数, 活跃度 FROM user_data WHERE 用户数 > 1000 AND 活跃度 > 0.7\n```\n\n```echarts\n{\n dataset: dataset['user_analysis'],\n title: { text: \"用户分布分析\" },\n xAxis: { type: \"category\" },\n yAxis: { type: \"value\" },\n series: [{\n type: \"bar\",\n encode: { x: \"地区\", y: \"用户数\" }\n }]\n}\n```\n````\n\n### 6. 栅格布局\n\n使用 `cell` 容器创建响应式布局：\n\n````markdown\n::: cell 6\n### 大单元格 (6格宽)\n这是一个较大的单元格，宽度占6格\n\n可以包含任何 Markdown 语法：\n- 列表项\n- 图片\n- 代码等\n:::\n\n::: cell 3\n### 中等单元格 (3格宽)\n中等大小的单元格\n\n```javascript\nconsole.log('支持代码块');\n```\n:::\n````\n\n### 7. 自定义容器\n\n支持多种自定义容器：\n\n````markdown\n::: info\n这是一个信息提示\n:::\n\n::: warning\n这是一个警告信息\n:::\n\n::: danger\n这是一个危险提示\n:::\n\n::: success\n这是一个成功提示\n:::\n````\n\n\n\n## 数据源使用注意事项\n\n### 错误处理\n\n当数据源查询失败时，会显示错误信息：\n\n- **数据源未注入**：\"数据源获取函数未注入，请确保已设置datasource属性\"\n- **数据源不存在**：\"数据源不存在: {sourceId}\"\n- **SQL语法错误**：\"SQL查询语句不能为空\" 或 \"数据源查询格式不正确\"\n\n### 缓存机制\n\n数据源查询结果会自动缓存，避免重复查询：\n\n- 相同查询条件会返回缓存结果\n- 可以通过 `clearDataSourceCache()` 清除缓存\n- 使用 `{forceRefresh: true}` 选项强制刷新\n\n### 性能优化\n\n- 数据源查询支持异步处理\n- 支持延迟加载选项 `{delay: 500}`\n- 内置数据源使用模拟数据，无网络请求\n\n## 特性\n\n- ✅ Vue 3 支持\n- ✅ ECharts 图表渲染\n- ✅ D3.js 可视化支持（新功能）\n- ✅ Mermaid 流程图支持\n- ✅ KaTeX 数学公式\n- ✅ 数据集表格展示\n- ✅ 可编辑区域\n- ✅ 自定义容器\n- ✅ 响应式设计\n- ✅ TypeScript 支持\n- ✅ 数据源查询功能\n- ✅ SQL 语法支持\n- ✅ 数据缓存机制\n- ✅ **Word 文档导出**\n- ✅ **Dashboard 看板模式**\n\n## Word 导出功能\n\n支持将 Markdown 内容导出为 Word 文档（.docx 格式）：\n\n```vue\n\n\n\n```\n\n**支持导出：**\n- 标题、段落、列表、表格\n- 粗体、斜体、代码块\n- **ECharts 图表**（自动转为图片）\n- **Mermaid 流程图**（自动转为图片）\n\n**详细文档：** 查看 [EXPORT.md](./docs/EXPORT.md)\n\n## Dashboard 看板模式\n\n支持将数据集集中管理的看板模式，通过添加 `` 注释激活：\n\n```markdown\n\n\n# 销售数据看板\n\n\\`\\`\\`dataset datasetId: sales_data\n{\n dimensions: [\"月份\", \"销售额\"],\n source: [\n { 月份: \"1月\", 销售额: 12500 },\n { 月份: \"2月\", 销售额: 13800 }\n ]\n}\n\\`\\`\\`\n\n\\`\\`\\`echarts\n{\n dataset: dataset['sales_data'],\n xAxis: { type: \"category\" },\n yAxis: { type: \"value\" },\n series: [{ type: \"line\", encode: { x: \"月份\", y: \"销售额\" } }]\n}\n\\`\\`\\`\n```\n\n**Dashboard 模式特性：**\n- 左侧抽屉显示所有数据集\n- 数据集不在正文中显示\n- 支持搜索、刷新、导出\n- 数据预览功能\n\n**详细文档：** 查看 [DASHBOARD.md](./docs/DASHBOARD.md)\n\n## 特性\n\n- ✅ Vue 3 支持\n- ✅ ECharts 图表渲染\n- ✅ D3.js 可视化支持\n- ✅ Mermaid 流程图支持\n- ✅ KaTeX 数学公式\n- ✅ 数据集表格展示\n- ✅ 可编辑区域\n- ✅ 自定义容器\n- ✅ 响应式设计\n- ✅ TypeScript 支持\n- ✅ 数据源查询功能\n- ✅ SQL 语法支持\n- ✅ 数据缓存机制\n- ✅ Word 文档导出\n- ✅ Dashboard 看板模式\n\n## 许可证\n\nMIT License","readmeFilename":"README.md"}