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    0.1.11 • Public • Published

    🍵 Kahwah

    Test runner for k6. The design of the Kahwah library was inspired by Mocha. If you already know Mocha framework, using this library should be very simple.



    More documentation will be coming soon, but until it is happen, here is an annotated example, and some generated API documentation in docs/README.md


    This section contains an annotated, runnable k6 example script. You can extract the script with codedown and run with k6 using the following command line (as I do while testing documentation example):

    cat README.md | codedown js | k6 run -

    Or you can simply download example.js but it is much less fancy :)

    In this example we are using step function instead of describe. The two function has exactly same API, the only difference is that step will skip execution if previous step failed.

    1. Import latest release of Kahwah library from CDN (for example from jsDelivr)

      import { describe as step, it } from "https://cdn.jsdelivr.net/npm/kahwah";

      As an alternative, you can import latest development version from GitHub

      import { step, it } from "github.com/szkiba/kahwah/lib/index.js";
    2. Export options and default function from Kahwah library.

      export { options, default } from "https://cdn.jsdelivr.net/npm/kahwah";

      You can export these as is (like in example above) or you can customize before exporting. The options contains thresholds required to fail test if some of checks failed. The thresholds also available as exported variable, so you can import it (customize) and use in your own options.

    3. Import expect from Chai Assertion Library

      import { expect } from "cdnjs.com/libraries/chai";
    4. Import required k6 packages

      import http from "k6/http";
    5. Setup data object. In this example we are using a session context object to store session variables between steps.

      export function setup() {
        return { session: {} };
    6. Write workflow steps. Each step test some functionallity of the system. Some steps store output values to session variable for other steps.

    step("Generate random user", (ctx) => {
      let resp = http.get("https://phantauth.net/user");
      it("status 200", () => {
      ctx.session.user = JSON.parse(resp.body);
    step("Generate access token", (ctx) => {
      const { user } = ctx.session;
      let resp = http.get(`https://phantauth.net/user/${user.sub}/token/access`);
      it("status 200", () => {
      ctx.session.token = resp.body;
    step("Get OpenID Configuration", (ctx) => {
      let resp = http.get("https://phantauth.net/.well-known/openid-configuration");
      it("status 200", () => {
      const parsed = JSON.parse(resp.body);
      it("has userinfo_endpoint", () => {
      ctx.session.meta = parsed;
    step("Get User Info", (ctx) => {
      const { user, meta, token } = ctx.session;
      let resp;
      it("require authorization", () => {
        resp = http.get(meta.userinfo_endpoint);
      it("status 200", () => {
        resp = http.get(meta.userinfo_endpoint, { headers: { authorization: `Bearer ${token}` } });
      const info = JSON.parse(resp.body);
      it("has same property values", () => {
        ["sub", "name", "email", "picture"].forEach((prop) => expect(info[prop]).equal(user[prop]));

    The output will be something like this:

         █ setup
         █ Generate random user
           ✓ status 200
         █ Generate access token
           ✓ status 200
         █ Get OpenID Configuration
           ✓ status 200
           ✓ has userinfo_endpoint
         █ Get User Info
           ✓ require authorization
           ✓ status 200
           ✓ has same property values

    Each step/describe execution time is measured, the output will contains these _duration suffixed metrics (metric name prefix generated from step/describe title with lowercasing it and replacing spaces with underscore characters):

         checks..............................: 100.00% ✓ 7   ✗ 0  
         generate_access_token_duration......: avg=319ms    min=319ms   med=319ms    max=319ms    p(90)=319ms    p(95)=319ms   
         generate_random_user_duration.......: avg=348ms    min=348ms   med=348ms    max=348ms    p(90)=348ms    p(95)=348ms   
         get_openid_configuration_duration...: avg=38ms     min=38ms    med=38ms     max=38ms     p(90)=38ms     p(95)=38ms    
         get_user_info_duration..............: avg=528ms    min=528ms   med=528ms    max=528ms    p(90)=528ms    p(95)=528ms   


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