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Usage Heatmap — DSH Plugin for DeepSeek Harness
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@dsh-external/dsh-usage-heatmap

Usage Heatmap

Model usage statistics dashboard: metric cards for total tokens/peak usage/longest session/consecutive days + GitHub-style token heatmap (daily/weekly/cumulative switching) + activity insights, with data from local DSH usage aggregation

The plugin will be installed here. Keep web if you are unsure.

npx -y @deepseek-ai/dsh plugin --profile web add github:zeng6125-rgb/dsh-usage-heatmap#00929254ab5192422456f6b47421ea9c51c1f289
READMECompatibilityVersions

Compatibility and provenance

Usage Heatmap is published as @dsh-external/dsh-usage-heatmap and currently resolves to version 0.0.4. The Hub verifies its manifest and preserves the exact installation source for reproducible installs.

DSH compatibility
*
Runtime surfaces
web
Release source
github
Registry updated
9/25/2026

Versions

0.0.4stable
9/25/2026
0.0.3stable
9/25/2026

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Latest
0.0.4
DSH
*
HMR
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Tree shaking
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Unpacked size
Unavailable
Files
Unavailable
Surface
web
License
BSD-3-Clause
Source
github
GitHub
★ 1
Weekly downloads
0
Last push
9/25/2026
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README

@dsh-external/dsh-usage-heatmap

模型用量统计面板 — 装在 DSH 设置页里的 Token 用量看板：九宫指标卡 + GitHub 风格热力图 + 活动洞察，数据全部在本地聚合。

An all-local token usage dashboard for the DeepSeek Harness settings page.

功能 / Features

  • 九宫指标卡：累计 Token、今日、昨日、峰值日、最长会话、连续活跃（当前 / 历史最长）、活跃天数、会话数（主 / 子代理）、子代理 Token。
  • 热力图：GitHub 风格日历，每格 = 当日用量（周一为一周之始），可切「每日 / 每周 / 累计」三档；行标一/三/五/日与格子按同一 7 行网格对齐；列数随容器宽度自适应。
  • 活动洞察：峰值日占比、连续活跃区间、会话构成、最长会话、子代理占比、缓存读取占比、今日四桶（未缓存输入 / 输出 / 缓存读 / 缓存写）。
  • 不丢数：会话日志被删后，历史 token 仍从投影缓存（session_projcache）与已扫入的归档分桶中保留；面板把「已删归档」与「孤儿投影」分开标注。
  • 性能：投影文件按 mtime 记忆化、逐文件让出事件循环、内容未变不重渲染、持久化快照使重启首帧约 350ms；面板根为自滚动容器（will-change: scroll-position），滚动走合成器线程。

安装 / Install

从 GitHub 安装（仓库已提交 lib/，无需构建）：

dsh plugin add github:zeng6125-rgb/dsh-usage-heatmap

或使用 Release 里的预构建 tarball：

dsh plugin add https://github.com/zeng6125-rgb/dsh-usage-heatmap/releases/latest/download/dsh-usage-heatmap.tgz

装好后在 设置 → 模型用量统计 查看。首次扫描需要几秒（约 8s，取决于会话日志总量），之后走缓存与快照，秒开。

数据来源 / Where the numbers come from

全部为本地文件，插件不发起任何网络请求：

来源路径用途
会话投影缓存~/.dsh/storages/session_projcache/sessions/*.json会话级累计 token、会话元信息
会话日志~/.dsh/storages/session*/**.jsonl.zstd逐日分桶（多帧 zstd）
聚合缓存~/.dsh/storages/usage-heatmap/cache.json增量扫描结果与归档
快照~/.dsh/storages/usage-heatmap/last-state.json重启后首帧秒开

逐日分桶依赖会话日志中的事件时间戳；缺失时回退到 createdAt / 文件 mtime 摊分。

开发 / Development

DSH_CHECKOUT=<dsh source checkout> bash scripts/build.sh   # src/ → lib/
npm run typecheck                                          # tsc --noEmit

scripts/build.sh 需要一份 DSH 源码检出（DSH_CHECKOUT，或 ~/dsh-harness / ~/dsh / ~/.dsh/dsh-harness 之一）来链接 @deepseek-ai/* 与 cordis；终端用户安装时用的是仓库里已提交的 lib/，不需要这一步。

tools/*.mjs 是开发期探针（逐日对账、事件字段、帧结构、投影缓存、子代理口径），自带实现、不依赖 lib/。

License

BSD-3-Clause