Gapproof

io.github.CloudCorpRecords由 GitHub 帳號 CloudCorpRecords 發布v0.1.0更新於 Nov 3, 2026

查詢未測試的函式:將測試與程式碼關聯,評估覆蓋率,並在本機記錄已驗證的執行。

AI 翻譯由 AI 模型根據下方的原文描述翻譯,可能有誤。

原文描述

Find untested functions: link tests to code, score coverage, record proven runs locally.

已驗證STDIO僅桌面

概覽

Gapproof 的本機 MCP 服務;無需登入;STDIO。

暫無 AI 概覽:以下資訊來自註冊中心條目和服務本身。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Gapproof,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

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 .py are classified as tests when they live under test/, 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(, and const name = (...) => (also let/var, the function keyword form, and an optional async). Python: def name(. A Python name not starting with _ counts as exported; a TS/JS name counts as exported when declared with export.
  • Linking. A function is linked when its name appears as a word in some test file's content.
  • Proving. orangepro_record_run appends a run (test, outcome: "pass" | "fail", optional functions) 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

bash
npx @reneturcios/gapproof orangepro_start '{"root":"/path/to/repo"}'

Or run the container image:

bash
docker run -i ghcr.io/cloudcorprecords/gapproof

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.

bash
gapproof orangepro_start '{"root":"/path/to/repo"}'gapproof orangepro_analyze_sources '{"root":"/path/to/repo"}'gapproof orangepro_find_test_gaps '{"root":"/path/to/repo","limit":10}'gapproof orangepro_status '{"root":"/path/to/repo"}'gapproof orangepro_record_run '{"root":"/path/to/repo","test":"math.test","outcome":"pass"}'gapproof orangepro_export_evidence_pack '{"root":"/path/to/repo"}'gapproof --version

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:

bash
npx -y @reneturcios/gapproof mcp

MCP client configuration:

json
{  "mcpServers": {    "gapproof": {      "command": "npx",      "args": ["-y", "@reneturcios/gapproof", "mcp"]    }  }}

Tools

All tools take root (the repository path) unless noted.

ToolExtra inputWhat it returns
orangepro_start—Analyzes the repo, persists .gapproof/graph.json (preserving recorded runs), and returns {root, sources, functions, tests, linked, unlinked} counts.
orangepro_analyze_sources—The same walk without persisting: per-file function lists plus the total function count.
orangepro_find_test_gapslimit (optional)Unlinked functions as [{function, file, exported}], exported first, then in file order.
orangepro_status—With a persisted graph: {exists: true, generated_at, counts}. Without one: {exists: false} plus a fresh, unstored snapshot.
orangepro_doctor—{root_exists, has_manifest, source_files, test_files, issues}; a manifest is package.json or pyproject.toml at the root.
orangepro_graph_score—{score, linked_ratio, proven_ratio, functions} — 60% linked + 40% proven.
orangepro_stats—{files, functions, tests, test_files, linked, unlinked, proven, runs}. tests counts individual test cases; test_files counts files.
orangepro_rtm—[{id, functions, covered}] for requirement ids found in source comments; covered means every associated function is linked. Empty when no ids appear.
orangepro_changed_impactfiles (required array){changed_functions, affected_tests, unlinked_changed} for the given repo-relative changed files.
orangepro_record_runtest, outcome (required), functions (optional)Appends a run to the graph (running a fresh analysis first when no graph exists) and returns {recorded: true, runs_total}.
orangepro_explain_testtest (required)Locates a test file by name substring and returns {test, file, linked_functions, proven_functions, content_excerpt} (excerpt ≤ 400 chars).
orangepro_export_evidence_pack—{generated_at, root, score, stats, gaps, runs}, returned to the caller — nothing is written.

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

bash
npm installnpm run build   # tsc -> dist/npm test        # node test runner over test/*.test.ts, in-memory fixture repo, no network, no disknpm run dev     # run the CLI from source via tsx

License

MIT — see LICENSE.

來源:README.md,提交 41d9d7f

工具

0
SourceWeft 尚未在沙箱中啟動過該軟體包,因此其工具未知。

版本歷史

1
  1. v0.1.0最新Nov 3, 2026

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