DepyDocs-各类功能测试文档

Security Classification: C-1

Publish Time: 2026-03-04

Category: DepyDocs

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AI Info

📌 AI Point 95

📝 AI Summary 该文档系统展示了DepyDocs平台支持的各类图表和流程图的Markdown语法格式，包括ECharts多种图表类型、Mermaid甘特图、序列图、流程图和数学公式，为开发者提供了完整的数据可视化与流程描述解决方案。

⭐ AI Evaluation 文档内容详实，结构清晰，涵盖了多种图表和流程图的实现方式，具有很高的实用价值。ECharts图表配置完整，Mermaid流程图逻辑清晰，数学公式展示规范。唯一可改进的是可以增加更多实际应用场景的示例，使文档更具指导意义。整体质量优秀，是一份出色的技术文档。

# 标题 1

###  echarts 图表

#### 饼图

```echarts
{
  "backgroundColor": "transparent",
  "title": {
    "text": "2024年某电商平台季度销售额构成",
    "x": "center",
    "textStyle": {
      "color": "#111111"
    }
  },
  "tooltip": {
    "trigger": "item",
    "formatter": "{a} <br/>{b} : {c}万元 ({d}%)"
  },
  "legend": {
    "orient": "vertical",
    "left": "left",
    "data": ["第一季度", "第二季度", "第三季度", "第四季度"],
    "textStyle": {
      "color": "#111111"
    }
  },
  "series": [
    {
      "name": "季度销售额",
      "type": "pie",
      "radius": ["40%", "70%"],
      "center": ["50%", "60%"],
      "data": [
        {"value": 850, "name": "第一季度"},
        {"value": 1200, "name": "第二季度"},
        {"value": 1500, "name": "第三季度"},
        {"value": 1180, "name": "第四季度"}
      ],
      "itemStyle": {
        "emphasis": {
          "shadowBlur": 10,
          "shadowOffsetX": 0,
          "shadowColor": "rgba(0, 0, 0, 0.5)"
        }
      }
    }
  ]
}
```

#### 折线图
```echarts

{
  "backgroundColor": "transparent",
  "title": {
    "text": "2024年1-6月空气质量指数及PM2.5浓度变化",
    "x": "center",
    "textStyle": {
      "color": "#111111"
    }
  },
  "tooltip": {
    "trigger": "axis"
  },
  "legend": {
    "data": ["AQI指数", "PM2.5浓度(μg/m³)"],
    "textStyle": {
      "color": "#111111"
    },
    "top": "10%"
  },
  "grid": {
    "left": "3%",
    "right": "4%",
    "bottom": "3%",
    "containLabel": true
  },
  "xAxis": {
    "type": "category",
    "boundaryGap": false,
    "data": ["1月", "2月", "3月", "4月", "5月", "6月"],
    "axisLabel": {
      "color": "#111111"
    }
  },
  "yAxis": [
    {
      "type": "value",
      "name": "AQI指数",
      "axisLabel": {
        "color": "#111111"
      }
    },
    {
      "type": "value",
      "name": "PM2.5浓度(μg/m³)",
      "axisLabel": {
        "color": "#111111"
      },
      "position": "right"
    }
  ],
  "series": [
    {
      "name": "AQI指数",
      "type": "line",
      "data": [85, 78, 65, 58, 62, 70],
      "lineStyle": {
        "width": 2
      },
      "itemStyle": {
        "color": "#ef4136"
      }
    },
    {
      "name": "PM2.5浓度(μg/m³)",
      "type": "line",
      "yAxisIndex": 1,
      "data": [45, 40, 32, 28, 30, 35],
      "lineStyle": {
        "width": 2
      },
      "itemStyle": {
        "color": "#4285f4"
      }
    }
  ]
}

```
#### 柱状图

```echarts
{
  "title": {
    "text": "2024年五大热门短视频平台月均活跃用户数及18-30岁用户占比",
    "left": "center",
    "textStyle": {
      "color": "#111111"
    }
  },
  "tooltip": {
    "trigger": "axis",
    "axisPointer": {
      "type": "shadow"
    }
  },
  "legend": {
    "data": ["月均活跃用户数（亿）", "18-30岁用户占比（%）"],
    "top": "10%",
    "textStyle": {
      "color": "#111111"
    }
  },
  "grid": {
    "left": "3%",
    "right": "4%",
    "bottom": "3%",
    "containLabel": true },
  "xAxis": {
    "type": "category",
    "data": ["平台 A", "平台 B", "平台 C", "平台 D", "平台 E"],
    "axisLabel": {
      "color": "#111111"
    }
  },
  "yAxis": [
    {
      "type": "value",
      "name": "月均活跃用户数（亿）",
      "position": "left",
      "axisLabel": {
        "color": "#111111"
      },
      "nameTextStyle": {
        "color": "#111111"
      }
    },
    {
      "type": "value",
      "name": "18-30岁用户占比（%）",
      "position": "right",
      "axisLabel": {
        "color": "#111111"
      },
      "nameTextStyle": {
        "color": "#111111"
      }
    }
  ],
  "series": [
    {
      "name": "月均活跃用户数（亿）",
      "type": "bar",
      "data": [2.8, 1.9, 1.5, 0.8, 0.6],
      "yAxisIndex": 0    },
    {
      "name": "18-30岁用户占比（%）",
      "type": "line",
      "data": [65, 72, 58, 45, 50],
      "yAxisIndex": 1    }
  ],
  "backgroundColor": "transparent"
}
```
#### 雷达图

```echarts

{
  "backgroundColor": "transparent",
  "title": {
    "text": "三款中端智能手机综合评分对比（满分10分）",
    "x": "center",
    "textStyle": {
      "color": "#111111"
    }
  },
  "tooltip": {
    "trigger": "item",
    "formatter": "{b}：{c}分"
  },
  "legend": {
    "data": ["机型X", "机型Y", "机型Z"],
    "textStyle": {
      "color": "#111111"
    },
    "top": "10%"
  },
  "radar": {
    "indicator": [
      { "name": "性能", "max": 10 },
      { "name": "续航", "max": 10 },
      { "name": "拍照", "max": 10 },
      { "name": "屏幕", "max": 10 },
      { "name": "系统流畅度", "max": 10 }
    ],
    "axisName": {
      "color": "#111111"
    }
  },
  "series": [
    {
      "name": "手机综合评分",
      "type": "radar",
      "data": [
        {
          "value": [8.5, 7.8, 8.2, 8.0, 9.0],
          "name": "机型X",
          "areaStyle": { "color": "rgba(239, 65, 54, 0.2)" },
          "lineStyle": { "color": "#ef4136", "width": 2 }
        },
        {
          "value": [7.9, 8.5, 7.5, 8.3, 8.8],
          "name": "机型Y",
          "areaStyle": { "color": "rgba(66, 133, 244, 0.2)" },
          "lineStyle": { "color": "#4285f4", "width": 2 }
        },
        {
          "value": [8.2, 7.6, 8.8, 7.9, 8.5],
          "name": "机型Z",
          "areaStyle": { "color": "rgba(15, 157, 88, 0.2)" },
          "lineStyle": { "color": "#0f9d58", "width": 2 }
        }
      ]
    }
  ]
}

```
#### 散点图
```echarts
{
  "title": {
    "text": "运动时长与体重变化关联",
    "left": "center",
    "textStyle": {
      "color": "#111111"
    }
  },
  "grid": {
    "left": "10%",
    "right": "10%",
    "bottom": "15%",
    "top": "15%"
  },
  "xAxis": {
    "type": "value",
    "name": "每周运动时长（小时）",
    "nameTextStyle": {
      "color": "#111111"
    },
    "axisLabel": {
      "color": "#111111"
    },
    "splitLine": {
      "lineStyle": {
        "color": "#e0e0e0"
      }
    }
  },
  "yAxis": {
    "type": "value",
    "name": "体重减少（kg）",
    "nameTextStyle": {
      "color": "#111111"
    },
    "axisLabel": {
      "color": "#111111"
    },
    "splitLine": {
      "lineStyle": {
        "color": "#e0e0e0"
      }
    }
  },
  "series": [
    {
      "type": "scatter",
      "symbolSize": 20,
      "data": [
        [3, 2.1],
        [4.5, 3.5],
        [2, 1.2],
        [5, 4.0],
        [1.5, 0.8],
        [6, 4.2]
      ],
      "itemStyle": {
        "color": "#5470c6"
      },
      "label": {
        "show": true,
        "formatter": "用户 {a}",
        "position": "top",
        "color": "#111111"
      },
      "emphasis": {
        "itemStyle": {
          "shadowBlur": 10,
          "shadowColor": "rgba(0,0,0,0.3)"
        }
      }
    }
  ],
  "backgroundColor": "transparent"
}
```

#### 成堆叠柱状图

```echarts
{
  "title": {
    "text": "2023-2024年各部门人员构成",
    "textStyle": {
      "color": "#111111"
    },
    "left": "center"
  },
  "tooltip": {
    "trigger": "axis",
    "axisPointer": {
      "type": "shadow"
    }
  },
  "legend": {
    "data": ["前端", "后端", "测试", "线上", "线下", "内容", "用户"],
    "top": "bottom"
  },
  "xAxis": {
    "type": "category",
    "data": ["2023技术部", "2023市场部", "2023运营部", "2024技术部", "2024市场部", "2024运营部"],
    "axisLabel": {
      "color": "#111111"
    }
  },
  "yAxis": {
    "type": "value",
    "axisLabel": {
      "color": "#111111"
    }
  },
  "series": [
    {
      "name": "前端",
      "type": "bar",
      "stack": "2023技术部",
      "data": [40, 0, 0, 0, 0, 0]
    },
    {
      "name": "后端",
      "type": "bar",
      "stack": "2023技术部",
      "data": [50, 0, 0, 0, 0, 0]
    },
    {
      "name": "测试",
      "type": "bar",
      "stack": "2023技术部",
      "data": [30, 0, 0, 0, 0, 0]
    },
    {
      "name": "线上",
      "type": "bar",
      "stack": "2023市场部",
      "data": [0, 45, 0, 0, 0, 0]
    },
    {
      "name": "线下",
      "type": "bar",
      "stack": "2023市场部",
      "data": [0, 35, 0, 0, 0, 0]
    },
    {
      "name": "内容",
      "type": "bar",
      "stack": "2023运营部",
      "data": [0, 0, 25, 0, 0, 0]
    },
    {
      "name": "用户",
      "type": "bar",
      "stack": "2023运营部",
      "data": [0, 0, 35, 0, 0, 0]
    },
    {
      "name": "前端",
      "type": "bar",
      "stack": "2024技术部",
      "data": [0, 0, 0, 50, 0, 0]
    },
    {
      "name": "后端",
      "type": "bar",
      "stack": "2024技术部",
      "data": [0, 0, 0, 65, 0, 0]
    },
    {
      "name": "测试",
      "type": "bar",
      "stack": "2024技术部",
      "data": [0, 0, 0, 35, 0, 0]
    },
    {
      "name": "线上",
      "type": "bar",
      "stack": "2024市场部",
      "data": [0, 0, 0, 0, 55, 0]
    },
    {
      "name": "线下",
      "type": "bar",
      "stack": "2024市场部",
      "data": [0, 0, 0, 0, 35, 0]
    },
    {
      "name": "内容",
      "type": "bar",
      "stack": "2024运营部",
      "data": [0, 0, 0, 0, 0, 30]
    },
    {
      "name": "用户",
      "type": "bar",
      "stack": "2024运营部",
      "data": [0, 0, 0, 0, 0, 40]
    }
  ],
  "backgroundColor": "transparent"
}
```
### 甘特图

```mermaid
gantt
  title 项目开发流程
  section 项目确定
    需求分析       :a1, 2019-06-22, 3d
    可行性报告     :after a1, 5d
    概念验证       : 5d
  section 项目实施
    概要设计      :2019-07-05  , 5d
    详细设计      :2019-07-08, 10d
    编码          :2019-07-15, 10d
    测试          :2019-07-22, 5d
  section 发布验收
    发布: 2d
    验收: 3d
```

###  序列图

```mermaid
sequenceDiagram
  participant Alice
  participant Bob
  Alice->John: Hello John, how are you?
  loop Healthcheck
      John->John: Fight against hypochondria
  end
  Note right of John: Rational thoughts <br/>prevail...
  John-->Alice: Great!
  John->Bob: How about you?
  Bob-->John: Jolly good!
```

### 流程图

```mermaid
graph TD
    A[用户请求] --> B[语义解析]
    B --> C[RAG检索]
    
    C -->|✅ 知识库匹配| D[上下文增强]
    C -->|❌ 无匹配| E[任务分解]
    
    D --> E
    
    E --> F{工具选择}
    
    F -->|🛠️ 核心工具| G{基础操作}
    F -->|🔌 MCP扩展服务| H{MCP操作}
    
    G -->|✏️ 文件操作| I[读写/替换]
    G -->|🖥️ 系统命令执行| J[执行命令]
    G -->|🔍 代码分析| K[代码分析]
    
    H -->|⚙️ 使用MCP工具| L[使用MCP工具]
    H -->|📦 访问MCP资源| M[访问MCP资源]
    
    I --> N[结果验证]
    J --> N
    K --> N
    L --> N
    M --> N
    
    N --> O{完成判断}
    
    O -->|✅| P[提交最终结果]
    O -->|❌| E
```

### 公式

$$
E=mc^2
$$

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DepyDocs-各类功能测试文档

© Copyright: This article is an original work and the copyright belongs to the depy unless marked as ReproducedPlease contact the blogger for authorization to reprint

© Copyright: This article is an original work and the copyright belongs to the depy unless marked as Reproduced

Please contact the blogger for authorization to reprint