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miniprogram-analyzer2

v0.0.8

Published

miniprogram analyzer based on plato

Downloads

5

Readme

miniprogram-analyzer

Intro

评估小程序代码质量

使用

项目启动

$ git clone https://github.com/miniprogram-analyzer/miniprogram-analyzer.git
$ cd miniprogram-analyzer
$ npm install

代码分析

使用帮助

$ node bin/index.js analyze -h # 查看使用帮助

示例

$ node bin/index.js analyze example/weiyou
报告输出至:plato-mini-program-zh-CN/report/weiyou

分析报告:

report/weiyou
├── plato       # 分析报告 HTML
└── report.json # 详细信息

API

inspect(mpDir, reportDir, options?):

return Promise<object>

mpDir

Type: string

miniprogram directory

reportDir

Type: string

report directory

options

Type: object

{
    platoOptions
}

代码质量衡量指标说明

Code Metrics

:point_right: 示例: report/weiyou/reports.json

| 指标 | 说明 | | ---------------- | -------------------------------------- | | pages | 页面列表 | | hasCloudFunction | 是否使用云开发 | | components | 使用到的组件 | | wxAPIs | 使用到的小程序 API | | CSSLOC | wxss 代码行数(经过 stylelint 格式化) | | plato | plato 相关 |

plato 生成页面指标说明

总 Summary

  1. Total Lines 总代码行数,表示文件中的代码总行数。
  2. Average Lines 平均代码行数
  3. Maintainability 代码可维护性指标,参考说明 Maintainability Index = MAX(0,(171 - 5.2 * log(Halstead Volume) - 0.23 * (Cyclomatic Complexity) - 16.2 * log(Lines of Code))*100 /171) 可维护性指标为0-100之间的数字,数值越大表示越易于维护。 20-100:易于维护 10-19:较难维护 0-9:很难维护
  4. Average Maintainability 平均代码可维护性,依据各文件取平均得出
  5. Lines of code 各文件代码行数
  6. Estimated errors in implementation 潜在bug数估计,依据Halstead模型得出
  7. Lint errors jsLint错误数,不符合约定编程风格错误数

各文件衡量指标

  1. Difficulty 文件中去重操作数越难;重复操作符越多,越难。依据Halstead模型得出
  2. Complexity 圈复杂度,表示代码块中所有可能的路径数。圈复杂度越低越好。 降低圈复杂度的方法:减少分支数。圈复杂度说明
  3. Function weight 函数权重。有如下几种分类方式: By Complexity:按圈复杂度统计 BySLOC:按照SLOC/LSLOC(源代码行/逻辑代码行)统计。 SLOC:物理代码行,统计物理行数,包括注释、空行等。 LSLOC:逻辑代码行,统计语句数。