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Skills/apifox.com/apifox-test-case
AT

apifox-test-case

apifox.com
825 installs

Installation

npx skills add https://apifox.com --skill apifox-test-case

Summary

Apifox 接口测试用例:test-case 与 test-data 的查询、创建、更新、删除、分类和运行;处理测试步骤、断言、提取变量、前后置处理器、数据集,以及“CLI 创建后前端测试步骤无法展示”等问题。

SKILL.md

接口测试用例

前置条件:先阅读 ../apifox-cli/SKILL.md。若旧总入口与本 skill 的领域规则冲突,以当前 CLI help 和本 skill 为准。涉及接口定义时按当前 CLI help 使用 endpoint、schema、folder 等命令;涉及多步骤流程时读取 ../apifox-test-scenario/SKILL.md。

具体命令参数以当前 CLI help 为准。创建和更新接口测试用例时重点处理 categoryId 展示风险、test-case 与 test-scenario 边界、requestBody/processor/assertion/extractor 结构和运行验证边界。Agent 写入前必须用 cli-schema validate 校验 payload,写入后用 get 回读确认保存结构。

何时使用

  • 创建接口下的自动化测试用例。
  • 更新测试步骤、断言、提取变量、前后置处理器。
  • 查看某个 endpoint 下有哪些测试用例。
  • 按 caseId、endpointId、categoryId 运行接口测试用例。
  • 创建或维护测试数据集。
  • 排查“测试步骤无法展示”“断言不生效”“提取变量为空”。

不应使用

  • 多接口流程编排或测试场景建模:转 apifox-test-scenario。
  • 只运行已有场景、套件或 CI 命令:转 apifox-test-automation。
  • 只改接口定义、请求参数或响应模型:按当前 CLI help 使用 endpoint/schema 等 API 设计命令。
  • 只查看测试报告:按当前 CLI help 使用 test-report;执行和报告边界参考 apifox-test-automation。

核心概念

概念CLI 资源说明
接口测试用例test-case绑定接口 endpoint 的测试数据与步骤
测试分类test-case category测试用例分类;创建 case 前用于获取有效 categoryId
测试数据集test-data可供迭代运行的数据
接口定义endpointcase 的依赖对象,不等同 case 本身
测试场景test-scenario多步骤流程编排,边界不同

命令入口

使用当前 CLI help 查询 test-case、test-data 和 apifox run --test-case 的参数。test-case category 用于获取 categoryId;当前 test-case category 不支持 --endpoint。按接口查看已有用例时使用 test-case list --endpoint <endpointId>;apifox run --test-case 只接收 caseId。

把单接口用例导入测试场景时,不在本 skill 手写场景步骤;转 apifox-test-scenario 并使用:

apifox test-scenario import-steps <scenarioId> --project <projectId> --source test-case --endpoint <endpointId> --ids <testCaseIds> --sync manual

创建测试用例标准流程

  1. 确认项目和分支。
  2. 定位 endpoint:apifox endpoint list/get。
  3. 必须执行 apifox test-case category --project <projectId> 获取有效 categoryId;如需查看某接口下已有用例,执行 apifox test-case list --project <projectId> --endpoint <endpointId>。
  4. 如果已有类似 case,先 apifox test-case list --project <projectId> --endpoint <endpointId>,再 get 一个作为模板。
  5. 获取并校验 test-case-create schema。
  6. 构造完整 JSON,不要只写空壳 name/endpointId。
  7. 创建后立即 test-case get <caseId>,确认后端实际保存结构。
  8. 运行一次并生成本地 JSON 报告,确认 requestBody、处理器、断言和脚本在 runner 中实际生效。
  9. 如上传报告,按当前 CLI help 使用 test-report 检查步骤详情;若报告缺详情,参考 apifox-test-automation 的本地/云端报告边界。

categoryId 是前端展示测试用例的关键必填字段,不是普通可选分类。无效 categoryId 可能导致 CLI get/list 能看到用例,但客户端分类列表里不可见、不可操作。创建前必须使用 test-case category 获取有效 ID。

更新测试用例标准流程

更新时必须先 get 原结构并基于完整结构修改,再校验 test-case-update schema,避免丢失已有步骤、断言、变量提取或处理器。update 不是 JSON Patch,也不会按 id 合并数组元素。

test-case-create 和 test-case-update schema 已包含前后置处理器、断言、提取变量和枚举值说明。首次编写 processor 时先看 schema,不要凭经验猜字段名、枚举值或旧格式。当前 test-case-update 会按 processor type 校验 data 结构;例如 extractor 会校验 variableType/subject/shareScope,assertion 会校验 subject/comparison,delay 的 data 必须是数字。

test-case get 回读结构里 method 可能是空字符串;这不代表前端方法展示异常,客户端通常从绑定 endpoint 展示 HTTP method。当前 test-case-update schema 已兼容该回读结构,更新时不要为了补 method 反向猜值,除非用户明确要改绑定接口或请求方法。

测试步骤展示规则

如果用户关心前端展示,必须额外验证:

  1. 创建或更新后执行 test-case get。
  2. 确认步骤、断言、提取变量、处理器字段被后端保存。
  3. 确认字段不是空数组、空对象或写到错误层级。
  4. 如果 CLI 返回成功但前端不展示,转 apifox-cli-checkup,先确认 project、branch、endpoint、categoryId 和回读结构是否一致。

内容和处理器结构

  • requestBody.data 必须是字符串,不要把 JSON Body 写成对象。
  • 多行 JSON Body、前置脚本和后置脚本用 \n 预格式化;这只影响客户端展示可读性,不改变执行语义。
  • preProcessors、postProcessors 使用扁平结构 { id, type, data, defaultEnable, enable },不要写旧式嵌套 { type, config }。
  • 处理器建议带稳定 id,尤其是 assertion、extractor、customScript;缺少 id 可能 validate 通过但运行器或客户端解析异常。
  • 提取全局变量时,data.variableType 使用 globals;如需指定生效范围,data.shareScope 优先使用 PROJECT。TEAM 是团队范围,可能依赖增值能力,除非用户明确要求团队范围,否则不要默认使用。
  • 写入前照常跑 cli-schema validate,写入后 test-case get 回读确认保存结构。

示例:

{
  "requestBody": {
    "type": "application/json",
    "data": "{\n  \"name\": \"Demo\",\n  \"description\": \"Readable in client\"\n}"
  },
  "postProcessors": [
    {
      "id": "postProcessors.0.customScript",
      "type": "customScript",
      "data": "pm.test('返回 ID', function () {\n  var body = pm.response.json();\n  pm.expect(body.data.id).to.exist;\n});",
      "defaultEnable": true,
      "enable": true
    },
    {
      "id": "postProcessors.1.extractor",
      "type": "extractor",
      "data": {
        "variableName": "project_pet_name",
        "variableType": "globals",
        "shareScope": "PROJECT",
        "subject": "responseJson",
        "expression": "$.name"
      },
      "defaultEnable": true,
      "enable": true
    }
  ]
}

断言和脚本规则

常规校验优先用可视化 assertion,自定义脚本只作为兜底能力。

断言规则:

  • HTTP 状态码、JSON 字段存在/相等、文本包含等常规校验优先用可视化 assertion,不要默认写 customScript。
  • 可视化断言字段使用当前 schema 枚举:HTTP 状态码用 httpCode,不要用 responseCode;JSON 字段用 responseJson,不要用 responseBody;全文包含用 responseText + include;比较符用 equal,不要用 equals。
{
  "type": "assertion",
  "data": {
    "name": "HTTP 状态码为 200",
    "subject": "httpCode",
    "comparison": "equal",
    "value": "200",
    "path": ""
  },
  "defaultEnable": true,
  "enable": true
}

脚本规则:

  • 自定义脚本只用于可视化断言覆盖不了的逻辑,例如复杂数组筛选、条件判断、二次请求、XML 转换或 schema 校验。
  • Apifox 脚本运行时通过 pm 对象读写变量、访问响应和定义断言;脚本断言使用 pm.test(...) 包裹。
  • 不要在 pm.test 外裸调用 pm.response.json(),避免空响应或非 JSON 响应导致错误难定位。
  • 不要凭经验扩展运行上下文字段。
pm.environment.set("variable_key", "variable_value");
pm.variables.set("variable_key", "variable_value");

pm.test("Status code is 200", function () {
  pm.response.to.have.status(200);
});

pm.test("JSON value equals expected", function () {
  var jsonData = pm.response.json();
  pm.expect(jsonData.value).to.eql(100);
});

字段风险提醒

  • 不要把 test-scenario 的步骤结构写进 test-case。
  • 不要只写 case 名称和 endpointId,这会形成前端看起来没有步骤的空壳。
  • 不要使用未验证的 categoryId。
  • 不要仅凭 test-case get 返回的 method 为空判断前端展示异常;客户端可能从绑定 endpoint 展示 HTTP method,test-case-update schema 也兼容该回读值。
  • 不要凭经验猜 processor/assertion/extractor 的字段名。
  • 不要用 endpoint response 代替 test-case assertion。
  • 不要把单接口 test-case 写成多步骤场景;test-case 不支持场景步骤间数据传递。
  • 不要把场景里的 {{$.1.response...}}、forEach 等步骤间传递规则写进 test-case;如果需要跨步骤流程,创建或维护 test-scenario。
  • 如果用户要把已有 test-case 作为场景步骤复用,使用 test-scenario import-steps --source test-case,导入后再 get --with-case-detail 回读并补业务参数值。

运行规则

  • test-case run <caseId> 是按单个 case 运行。
  • test-case run --endpoint <endpointId> 是按接口运行该接口下可运行 case。
  • --category <categoryId> 必须和 --endpoint <endpointId> 一起使用。
  • apifox run --test-case <caseId> 只支持 caseId,不支持 endpoint/category selector。
  • --environment 可省略,但为了复现建议显式指定。
  • 创建或更新后至少运行一次,确认 requestBody、处理器、断言和脚本在 runner 中实际生效;cli-schema validate 和 test-case get 成功不等于运行期一定正确。

常见恢复

现象处理
测试步骤不展示test-case get 看真实结构,必要时转 apifox-cli-checkup
断言不生效读取现有成功 case 模板,对比 assertion 字段
提取变量为空检查 extractor 层级、变量名、响应路径和执行报告
run-config 404确认 case/endpoint/environment/branch 均存在,再转 apifox-cli-checkup
endpoint 下找不到 case检查是否带了正确 --branch 和 --endpoint

Featured

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A live, always-on OpenClaw agent that handles your tasks around the clock. No servers, no setup — pick a model, connect Telegram, and it starts working.

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SetupClaw: done-for-you OpenClaw for founders & exec teams logoSetupClaw: done-for-you OpenClaw for founders & exec teams

White-glove OpenClaw for founders and exec teams (4–50+ employees): we install, harden, integrate your tools, and maintain it — secured from day one.

Get it set up for you →
One API to scrape, enrich, and extract the internet. logoOne API to scrape, enrich, and extract the internet.

Context.dev gives your agents a single API to scrape, enrich, and extract live web data — no proxies, no parsers, no maintenance.

Start building free →
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Turn your Claude agents into a real team — onboard them, assign tasks, and manage them like staff.

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Launch OpenClaw or Hermes on Hostinger in 60 seconds logoLaunch OpenClaw or Hermes on Hostinger in 60 seconds

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Auth, billing, and AI already wired in. Skip months of boilerplate and get paying customers now, not next quarter.

See the kit →
Launch your own OpenClaw agent in one click logoLaunch your own OpenClaw agent in one click

A live, always-on OpenClaw agent that handles your tasks around the clock. No servers, no setup — pick a model, connect Telegram, and it starts working.

Try it for free →
SetupClaw: done-for-you OpenClaw for founders & exec teams logoSetupClaw: done-for-you OpenClaw for founders & exec teams

White-glove OpenClaw for founders and exec teams (4–50+ employees): we install, harden, integrate your tools, and maintain it — secured from day one.

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One API to scrape, enrich, and extract the internet. logoOne API to scrape, enrich, and extract the internet.

Context.dev gives your agents a single API to scrape, enrich, and extract live web data — no proxies, no parsers, no maintenance.

Start building free →
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Turn your Claude agents into a real team — onboard them, assign tasks, and manage them like staff.

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A live, always-on OpenClaw agent that handles your tasks around the clock. No servers, no setup — pick a model, connect Telegram, and it starts working.

Try it for free →
SetupClaw: done-for-you OpenClaw for founders & exec teams logoSetupClaw: done-for-you OpenClaw for founders & exec teams

White-glove OpenClaw for founders and exec teams (4–50+ employees): we install, harden, integrate your tools, and maintain it — secured from day one.

Get it set up for you →
One API to scrape, enrich, and extract the internet. logoOne API to scrape, enrich, and extract the internet.

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Start building free →
CLN.Work — Stop prompting, start hiring AI employees logoCLN.Work — Stop prompting, start hiring AI employees

Turn your Claude agents into a real team — onboard them, assign tasks, and manage them like staff.

Hire AI employees →
Launch OpenClaw or Hermes on Hostinger in 60 seconds logoLaunch OpenClaw or Hermes on Hostinger in 60 seconds

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Launch on Hostinger →
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