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Git commit 的时间分布，进而推导出项目的编码工作强度","maintainers":[{"name":"hellodigua","email":"hellodigua@gmail.com"}],"readme":"# code996\n\ncode996 是一个分析工具，它可以统计 Git 项目的 commit 时间分布，进而推导出项目的编码工作强度。\n\n它可以帮助你了解新团队工作的时间模式，识别潜在的加班文化。\n\n**使用方法很简单，一行命令即可开始：`npx code996`**\n\n简体中文 | [English](./README_en.md)\n\n## 它的用途\n\n面试时我们会询问面试官加班情况，但得到的答案有时不那么真实。但是代码的提交时间不会骗人，因此就有了这个工具。\n\n当你入职新公司，跑一下 `npx code996`，就可以看到数据背后的真相，从而判断这家公司的真实加班文化。\n\n与其痛苦三个月，不如早点看清真相！别等到试用期结束才后悔！\n\n## 功能特性\n\n- **📊 996 指数**：将复杂的加班情况转化为直观数值，一眼看穿项目卷度\n- **🕰️ 智能工时推演**：使用每日首提分位数推测标准工时，并把晚间活动结束作为独立诊断证据\n- **📈 月度趋势追踪**：通过趋势识别项目是“越来越卷”还是“趋于平稳”\n- **📅 多维度加班画像**：全方位分析，不仅识别工作日/周末加班高峰，还能识别团队成员的加班比例\n- **📦 多仓库对比**：支持一键扫描并分析文件夹下的多个仓库，自动生成对比\n- **🖥️ 本地 Web 报告**：默认随终端报告保存中英双语可视化页面，使用 `--open` 可自动打开，无需上传数据或常驻本地服务\n- **🌍 跨时区检测**：自动识别时区分布，支持指定时区精准分析\n- **🇨🇳 节假日调休支持**：内置国内节假日调休逻辑，精准剔除调休干扰\n- **🔒 隐私安全**：纯本地运行，基于 git log 进行离线分析\n\n## 预览\n\n#### 查看核心结果\n\n<img src=\"https://raw.githubusercontent.com/hellodigua/code996/main/public/images/demo1.png\" alt=\"核心结果预览\" style=\"width:600px; max-width:100%; height:auto;\"/>\n\n<details>\n<summary>\n\n### 其他模块预览 点此展开→\n\n</summary>\n\n#### 查看提交时间分布\n\n<img src=\"https://raw.githubusercontent.com/hellodigua/code996/main/public/images/demo2.png\" alt=\"提交时间分布图\" style=\"width:400px; max-width:100%; height:auto;\"/>\n\n#### 加班情况分析\n\n<img src=\"https://raw.githubusercontent.com/hellodigua/code996/main/public/images/demo3.png\" alt=\"加班情况分析图\" style=\"width:600px; max-width:100%; height:auto;\"/>\n\n#### 月度趋势分析\n\n<img src=\"https://raw.githubusercontent.com/hellodigua/code996/main/public/images/demo4.png\" alt=\"月度趋势分析图\" style=\"width:600px; max-width:100%; height:auto;\"/>\n\n#### 团队工作模式分析\n\n<img src=\"https://raw.githubusercontent.com/hellodigua/code996/main/public/images/demo5.png\" alt=\"团队工作模式分析图\" style=\"width:600px; max-width:100%; height:auto;\"/>\n\n</details>\n\n## 🚀 快速开始\n\n### 使用命令行\n\n首先确保本地已安装 Node.js 18 或更高版本，然后：\n\n```bash\n# 在当前仓库或仓库上级目录运行\nnpx code996\n```\n\n默认会在终端输出传统文字报告，同时把可视化报告保存到 `Downloads/code996-report/日期_时间_项目名/`，但不会自动打开浏览器；例如 `Downloads/code996-report/2026-07-18_10-11-46_demo/`。需要生成后直接打开时运行 `npx code996 --open`。CLI 退出后仍可继续查看，删除对应目录即可完整移除报告；整个过程不会上传仓库数据，也不需要启动 localhost 服务。\n\n你也可以选择安装后再使用，这样就不用每次都重新下载：\n\n```bash\n# 全局安装\nnpm i -g code996\n\n# 使用\ncode996\n```\n\n### 使用 AI 助手\n\n无需预先安装 Skill。打开目标项目，把下面这段话发送给能够访问网络和执行命令的 AI 编程工具：\n\n```text\n请阅读 https://raw.githubusercontent.com/hellodigua/code996/main/skills/code996/SKILL.md 及其中引用的文件，并按照说明分析当前 Git 项目的团队工作强度，生成一份 996 分析报告。\n```\n\nAI 会按照 code996 Skill 采集本地 Git 数据，并生成包含加班语义、贡献者对比和改进建议的叙事化报告。你也可以把提示词末尾的分析要求改成：\n\n```\n分析我们团队 2025 年的加班情况，出一份报告\n帮我对比 /workspace/proj-a 和 /workspace/proj-b 的加班强度\n用 code996 分析这个仓库，并打开本地 Web 报告\n```\n\n运行 code996 需要 Node.js 18+。\n\n## 🤖 智能分析模式\n\ncode996 会根据上下文自动选择最合适的分析模式：\n\n- **在Git仓库中运行** → 单仓库深度分析\n- **目录下有多个仓库** → 自动进入多仓库分析模式\n\n```bash\n# 智能检测，自动选择分析模式\ncode996                    # 智能检测当前环境\ncode996 /path/to/repo      # 分析指定仓库\ncode996 /proj1 /proj2      # 自动进入多仓库模式\ncode996 /workspace         # 自动扫描子目录\n```\n\n## 📖 详细使用说明\n\n### 时间范围选项\n\n| 选项             | 简写 | 描述                                                        |\n| ---------------- | ---- | ----------------------------------------------------------- |\n| `--year <year>`  | `-y` | 指定年份或年份范围（推荐）。单年：`2025`；范围：`2023-2025` |\n| `--since <date>` | `-s` | 自定义开始日期 (YYYY-MM-DD)                                 |\n| `--until <date>` | `-u` | 自定义结束日期 (YYYY-MM-DD)                                 |\n| `--all-time`     | -    | 覆盖整个仓库历史数据                                        |\n\n### 筛选与展示选项\n\n| 选项                      | 简写 | 描述                                                               |\n| ------------------------- | ---- | ------------------------------------------------------------------ |\n| `--hours <range>`         | `-H` | 手动指定标准工作时间（如 9-18）⭐ **推荐使用，可获得更准确的结果** |\n| `--half-hour`             | -    | 以半小时粒度展示时间分布（默认按小时）📊 更精确                    |\n| `--timezone <offset>`     | -    | 指定时区进行分析（如 +0800、-0700）🌍 适用于跨时区团队             |\n| `--cn`                    | -    | 强制开启中国节假日调休模式（+0800 时区自动启用）                   |\n| `--self`                  | -    | 仅统计当前 Git 用户的提交记录                                      |\n| `--ignore-author <regex>` | -    | 排除匹配正则的作者（如 `bot\\|jenkins`）                            |\n| `--ignore-msg <regex>`    | -    | 排除匹配正则的提交信息（如 `^Merge\\|lint`）                        |\n| `--lang <locale>`         | -    | 指定界面语言（支持 `zh-CN`、`en` 及常见别名）                      |\n\n### 报告输出方式\n\n| 选项              | 行为                                                           |\n| ----------------- | -------------------------------------------------------------- |\n| 默认              | 输出终端文字报告，同时保存 Web 报告但不打开浏览器              |\n| `--open`          | 输出终端文字报告、保存 Web 报告并自动打开浏览器                |\n| `--json` / `--md` | 输出稳定的 JSON 数据或 Markdown 表格，不额外生成 Web 报告      |\n| `--output [path]` | 将 `--json` 或 `--md` 保存到指定路径；省略路径时使用默认文件名 |\n\n`--json` 和 `--md` 互斥，`--open` 不能与这两种结构化输出同时使用。Web 报告支持在页面右上角直接切换中文和英文；`--lang` 决定初始语言。\n\n### 界面语言\n\ncode996 会自动根据电脑系统语言选择界面语言。优先级如下：\n\n1. `--lang <locale>` 命令行参数\n2. `CODE996_LANG` 环境变量\n3. 操作系统语言\n4. 终端 locale（如 `LC_ALL`、`LC_MESSAGES`、`LANG`）\n5. Node.js Intl locale\n6. 英文兜底\n\n当前支持中文和英文。显式指定时可使用 `zh`、`zh-CN`、`zh_CN`、`zh-Hans-CN`、`en`、`en-US`、`en_US`；如果指定不支持的语言，命令会报错退出。\n\n### 使用示例\n\n```bash\n# ===== 单仓库分析（智能模式） =====\ncode996                        # 分析当前仓库（最近一年）\ncode996 /path/to/repo          # 分析指定仓库\ncode996 -y 2025                # 分析2025年\ncode996 -y 2023-2025           # 分析2023-2025年\ncode996 --all-time             # 查询整个仓库历史\ncode996 --self                 # 只分析当前用户的提交\ncode996 --self -y 2025         # 分析自己在2025年的提交\n\n# ===== 多仓库分析（智能自动检测） =====\ncode996                        # 如果子目录有多个仓库，自动进入多仓库模式\ncode996 /path/proj1 /path/proj2  # 传入多个路径，自动分析多个仓库\ncode996 /workspace             # 扫描指定目录的所有子仓库\ncode996 /workspace -y 2025     # 分析2025年的数据和趋势\ncode996 --self                 # 只统计当前用户在所有仓库中的提交\n\n# 手动指定工时（推荐）\ncode996 --hours 9.5-18.5       # 指定 9:30-18:30（支持小数）\ncode996 --hours 9.5-19 -y 2025 # 结合年份分析\n\n# 精细分析（半小时粒度）\ncode996 --half-hour            # 以半小时粒度展示时间分布\ncode996 -y 2025 --half-hour    # 结合年份分析，精细展示\ncode996 /proj1 /proj2 --half-hour  # 多仓库分析，半小时粒度展示\n\n# 跨时区项目分析\ncode996 --timezone=\"+0800\"     # 只分析东八区（中国）的提交\ncode996 --timezone=\"-0700\"     # 只分析西七区（美国西海岸）的提交\ncode996 -y 2025 --timezone=\"+0800\"  # 分析2025年特定时区的提交\n\n# 中国节假日调休分析\ncode996                        # 系统自动检测主要时区为 +0800 时，会自动启用节假日调休\ncode996 --cn                   # 手动强制开启节假日调休模式（适用于非 +0800 时区项目）\ncode996 --timezone=\"-0700\" --cn # 分析非中国时区项目，但需要按中国节假日调休判断\n\n# 过滤噪音数据（排除 CI/CD 机器人、合并提交等）\ncode996 --ignore-author \"bot\"                    # 排除所有包含 \"bot\" 的作者\ncode996 --ignore-author \"bot|jenkins|github-actions\"  # 排除多个作者（使用 | 分隔）\ncode996 --ignore-msg \"^Merge\"                    # 排除所有以 \"Merge\" 开头的提交消息\ncode996 --ignore-msg \"merge|lint|format\"         # 排除多个关键词\ncode996 -y 2025 --ignore-author \"renovate|dependabot\" --ignore-msg \"^Merge\" # 综合过滤\n\n# 指定界面语言\ncode996 --lang zh-CN           # 强制中文界面\ncode996 --lang en              # 强制英文界面\n\n# 报告输出\ncode996                        # 输出终端报表，同时保存 Web 报告但不打开\ncode996 --open                 # 输出终端报表、保存并打开 Web 报告\ncode996 --json --output report.json\ncode996 --md --output report.md\n```\n\n**常见排除场景**：\n\n```bash\n# 排除所有 CI/CD 机器人\n--ignore-author \"bot|jenkins|github-actions|gitlab-ci|circleci|travis\"\n\n# 排除依赖更新机器人\n--ignore-author \"renovate|dependabot|greenkeeper\"\n\n# 排除合并和格式化提交\n--ignore-msg \"^Merge|^merge|lint|format|prettier\"\n\n# 排除自动生成的提交\n--ignore-msg \"^chore|^build|^ci|auto\"\n```\n\n## 它怎样工作\n\n1. 使用 git-log 获取项目 commit 的相关数据\n2. 本地计算分析，生成统一的 ReportData\n3. 默认输出终端报告并保存 Web 页面，或根据显式参数打开 Web / 输出 JSON / Markdown\n\n### 数据采集流程\n\n```\nGit 仓库 → git log 采集 → 日级首提 + 小时分布 → 分位数推算上/下班 → 996 指数计算 → 结果输出\n```\n\n### 关键算法\n\n1. **时间分布分析**：\n   - 数据采集：按分钟级别采集提交时间，自动聚合为48个半小时点\n   - 算法处理：标准工时边界和 996 指数计算保留半小时精度；仅活动结束诊断按小时识别\n   - 展示模式：默认按小时展示（24点），可选半小时模式（48点）\n2. **工作时间识别**：使用最近样本的 10%-20% 分位估算上班时间，自动标准工时固定为 9 小时；晚间活动结束单独展示，不能扩大正常工时\n3. **996 指数计算**：依据加班比例构建指数，并输出中文描述\n4. **项目类型识别** ：通过工作时间规律性、周末活跃度、晚间活跃模式，自动识别项目是\"公司项目\"还是\"开源项目\"\n5. **跨时区协作检测**：通过时区离散度和\"睡眠时段\"提交比例识别跨时区项目（阈值：非主导时区 >1%），并提供时区过滤建议\n6. **节假日调休识别**：当主要时区为 +0800 且占比超过 50% 时，自动启用中国节假日调休判断（工作日/周末会考虑法定节假日和调休），其他时区可通过 `--cn` 参数手动开启\n7. **数据验证**：检验统计数据是否与总提交数一致，避免缺失导致的偏差\n8. **不确定性表达**：自动工时置信度低于 60% 时，同时给出常见工时场景的指数范围，避免把低样本推测包装成确定结论\n\n## 使用提示\n\n- 隐私保护：所有对 Git 数据的分析均在本地进行，不会上传任何结果或日志。\n- 分析局限性：工具仅统计 git log 中的 commit 时间。然而，实际工作还包括开会、学习、维护文档、调试自测等活动。因此，报告无法覆盖全部的实际工作时间，分析结果准确性有限，请谨慎参考。\n- 使用限制：本项目分析结果仅供个人参考，请勿用于 “作恶” 或不当用途。\n- 免责声明：code996 不对使用、传播本程序及附属产物造成的任何后果承担任何责任。\n\n## 匿名贡献\n\n如果你想要协助校准code996的计算算安抚，那么可以在要分析的 Git 仓库中运行：\n\n```bash\nnpx code996 benchmark\n```\n\n命令只在本地分析，不会上传任何内容。它会生成一个无标签的 `code996-benchmark-*.json` 文件；发送给维护者前，请先打开文件人工检查。无标签样本可用于发现算法的明显误判和异常分布，但不能证明它与团队真实作息之间的误差。\n\n如果愿意补充信息，可以使用可选参数生成更适合计算误差的有标签样本：\n\n```bash\nnpx code996 benchmark \\\n  --reference-hours 9.5-18.5 \\\n  --team-size 20\n```\n\n- `--reference-hours`：团队真实或通常执行的标准工时，用于与自动结果比较\n- `--team-size`：只用于按团队规模分组研究算法表现，不参与 996 指数计算；未提供时仍会自动记录 Git 贡献者人数区间\n- `--schedule`、`--label-confidence`：补充排班类型和参考标签的可信度\n- `-y` / `--since --until`：固定分析范围，便于不同数据集之间复现和比较\n\nJSON 不包含任何隐私信息。它会保留提交数、按半小时和星期聚合的时间分布、月份范围、贡献者人数区间以及自动结果；仅在提供参考工时后包含参考结果和误差。\n\n## 其他疑问\n\n> 以下是一些常见问题，如果你有其他问题，欢迎随时提出issue。\n\n### 💡 拿到代码才能分析，入职了再用岂不是马后炮？\n\n并非如此。code996 的核心价值在于打破信息差，用真实数据对抗口头画饼。\n\n1. 试用期即“验货期”：入职不代表卖身。法律规定的试用期也是我们对公司的考察期。如果第一天就发现是天坑，趁早止损也是一种避坑策略。\n2. 内推时背调：格局打开！你完全可以找在那家公司工作的内鬼朋友帮忙跑一下。这不就是最硬核的内推背调吗？🐶\n3. 决策依据：哪怕已经入职，有一份确凿的加班证据在手，无论是以此为由转岗，还是作为离职的决断依据，都比自我怀疑要强得多。\n\n### 📉 项目习惯本地多次提交后 Squash 再推送，会影响准确性吗？\n\n影响会有，但 code996 依赖的是统计学规律，只要 commit 样本达到一定数量，最终呈现的是团队整体的集体工作模式，特殊提交习惯在统计学上会被视为“噪声”被过滤掉。\n\n### 🚀 项目接下来的路线？\n\n接下来的功能都会沿着 WLB 和工作避坑的路线来开发，包括：更精细的加班比例分析、以及分析代码的屎山指数（复杂度分析），毕竟维护屎山也是导致 996 的罪魁祸首之一。\n\n## AI 和协作\n\n🤖 **AI 协作伙伴注意**：本项目采用标准化的 AI 协作流程，详情请查看 [.docs/README.md](.docs/README.md) 中的协作规范。\n\n## 📄 许可证\n\nMIT License\n","readmeFilename":"README.md"}