
Gapproof
io.github.CloudCorpRecords由 GitHub 账号 CloudCorpRecords 发布v0.1.0更新于 Nov 3, 2026
查找未测试的函数:将测试与代码关联,评估覆盖率,并在本地记录已验证的运行。
AI 翻译由 AI 模型根据下方的原文描述翻译,可能有误。
原文描述
Find untested functions: link tests to code, score coverage, record proven runs locally.
概览
Gapproof 的本地 MCP 服务;无需登录;STDIO。
暂无 AI 概览:以下信息来自注册中心条目和服务本身。
安装
在 SourceWeft 中
- 打开 控制台中的 Gapproof,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
README
gapproof
gapproof is a local test-gap analysis tool for a code repository. It walks the sources, extracts the functions it finds, checks which of them are mentioned by a test, and reports the gaps: functions no test appears to cover. Recorded test runs add a second, stronger signal — a function named by a passing run (directly, or through the test that links it) counts as proven, not just linked — and the two signals combine into a single coverage score.
This package is a clean-room rebuild, and a labelled core subset:
it covers 12 of the 18 tools documented for the original Orangepro
MCP server (orangepro_*). The omitted tools are listed under
"Scope" below.
How it works — honestly
There is no AST, no parser, and no network call anywhere. The engine is a set of documented heuristics:
- Walk. Starting at the given root, it skips
node_modules,.git,dist, and dot-directories. Files ending in.ts,.tsx,.js,.jsx, or.pyare classified as tests when they live undertest/,tests/, or__tests__/, or are named*.test.*,*.spec.*,test_*.py, or*_test.py; all others are sources. - Extraction (regex). TypeScript/JavaScript:
function name(,export function name(, andconst name = (...) =>(alsolet/var, thefunctionkeyword form, and an optionalasync). Python:def name(. A Python name not starting with_counts as exported; a TS/JS name counts as exported when declared withexport. - Linking. A function is linked when its name appears as a word in some test file's content.
- Proving.
orangepro_record_runappends a run (test,outcome: "pass" | "fail", optionalfunctions) to the persisted graph. A function is proven when a passing run names the function, or names a test file / test case that links it. - Score.
60% × linked ratio + 40% × proven ratio, reported on a 0–100 scale with one decimal place. - RTM. Requirement ids matching
[A-Z]+-\d+are read from source comments only (//,/* … */,#) and associated with the functions defined in the same file.
State lives in one file: <root>/.gapproof/graph.json, written by
orangepro_start and orangepro_record_run. Everything else reads
the repository (and that graph, when runs matter) without writing.
Install
Or run the container image:
The container defaults to the MCP server. Pass CLI arguments to use it as a CLI instead. No API key is needed — the original's optional model key only powers its AI test-generation tools, which this subset omits.
CLI
The CLI mirrors the tools: one subcommand per tool, taking its arguments as a single JSON object.
Exit codes: 0 on success, 1 on an analysis or validation error,
2 for usage errors.
MCP server
One bin serves both faces. The mcp subcommand starts a stdio MCP
server:
MCP client configuration:
Tools
All tools take root (the repository path) unless noted.
Scope
Omitted from this core subset: orangepro_prove_loop,
orangepro_prove, orangepro_generate_tests,
orangepro_update_graph, orangepro_ai_links, and
orangepro_ai_flows. Those are the original's proof-execution and
AI-assisted tools; the AI flows need a model key in the original.
This subset reproduces the local analysis surface only, with the
heuristic limits stated above: name-based linking can miss indirect
coverage and can credit a coincidental mention, and comment-based
RTM extraction only sees ids written in comments.
Development
License
MIT — see LICENSE.
来源:README.md,提交 41d9d7f
工具
0版本历史
1- v0.1.0最新Nov 3, 2026
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