agentleFS
WenWuZhiDaoWenWuZhiDao/mattpocock-skills-zh/skills/misc/migrate-to-shoehorn/SKILL.md

migrate-to-shoehorn

Skill27 starsChanged 3 months agoMITView on GitHub

将测试文件中的 `as` 类型断言迁移到 @total-typescript/shoehorn。当用户提到 shoehorn、想替换测试中的 `as`,或需要部分测试数据时使用。

  • Installs packages
Files
SKILL.md

迁移到 Shoehorn

为什么用 shoehorn?

shoehorn 让你在测试中传入部分数据,同时让 TypeScript 满意。它用类型安全的替代方案取代 as 断言。

仅限测试代码。 永远不要在生产代码中使用 shoehorn。

在测试中使用 as 的问题:

  • 被训练成不要使用它
  • 必须手动指定目标类型
  • 对于故意错误的数据需要双重 as(as unknown as Type)

安装

npm i @total-typescript/shoehorn

迁移模式

只需要少数属性的大对象

之前:

type Request = {
  body: { id: string };
  headers: Record<string, string>;
  cookies: Record<string, string>;
  // ...还有 20 多个属性
};

it("gets user by id", () => {
  // 只关心 body.id,但必须伪造整个 Request
  getUser({
    body: { id: "123" },
    headers: {},
    cookies: {},
    // ...伪造全部 20 个属性
  });
});

之后:

import { fromPartial } from "@total-typescript/shoehorn";

it("gets user by id", () => {
  getUser(
    fromPartial({
      body: { id: "123" },
    }),
  );
});

as Type → fromPartial()

之前:

getUser({ body: { id: "123" } } as Request);

之后:

import { fromPartial } from "@total-typescript/shoehorn";

getUser(fromPartial({ body: { id: "123" } }));

as unknown as Type → fromAny()

之前:

getUser({ body: { id: 123 } } as unknown as Request); // 故意用错误的类型

之后:

import { fromAny } from "@total-typescript/shoehorn";

getUser(fromAny({ body: { id: 123 } }));

各函数何时使用

函数使用场景
fromPartial()传入仍能通过类型检查的部分数据
fromAny()传入故意错误的数据(保留自动补全)
fromExact()强制要求完整对象(之后可换成 fromPartial)

工作流程

  1. 收集需求 —— 询问用户:
    • 哪些测试文件里的 as 断言造成了问题?
    • 它们是否在处理只有部分属性重要的大对象?
    • 是否需要传入故意错误的数据来做错误测试?
  2. 安装并迁移:
    • 安装:npm i @total-typescript/shoehorn
    • 找出带 as 断言的测试文件:grep -r " as [A-Z]" --include="*.test.ts" --include="*.spec.ts"
    • 将 as Type 替换为 fromPartial()
    • 将 as unknown as Type 替换为 fromAny()
    • 添加来自 @total-typescript/shoehorn 的导入
    • 运行类型检查以验证

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.