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MartinandMarco Pasqualetti d476f8cbe1 extract "core" package, small improvements (#137)
This PR mainly refactors the code by extracting a "core" package which
is then used by the "backend" and "frontend" apps.

Apart from this the PR also contains several smaller changes like fixing
dependabot, upgrading dependencies, aligned "package.json" files, added
tests, ...

addresses step 1 of #32 
closes #136

---------

Co-authored-by: Marco Pasqualetti <marco.pasqualetti@live.com>
2026-04-18 10:37:26 +02:00

125 lines
2.6 KiB
JavaScript

import { describe, expect, it } from "vitest";
import { calculateRank } from "../src/calculateRank.js";
import { approxNumber } from "./utils.js";
describe("Test calculateRank", () => {
it("new user gets C rank", () => {
expect(
calculateRank({
all_commits: false,
commits: 0,
prs: 0,
issues: 0,
reviews: 0,
repos: 0,
stars: 0,
followers: 0,
}),
).toStrictEqual({ level: "C", percentile: 100 });
});
it("beginner user gets B- rank", () => {
expect(
calculateRank({
all_commits: false,
commits: 125,
prs: 25,
issues: 10,
reviews: 5,
repos: 0,
stars: 25,
followers: 5,
}),
).toStrictEqual({
level: "B-",
percentile: approxNumber(65.02918514848255),
});
});
it("median user gets B+ rank", () => {
expect(
calculateRank({
all_commits: false,
commits: 250,
prs: 50,
issues: 25,
reviews: 10,
repos: 0,
stars: 50,
followers: 10,
}),
).toStrictEqual({ level: "B+", percentile: approxNumber(46.09375) });
});
it("average user gets B+ rank (include_all_commits)", () => {
expect(
calculateRank({
all_commits: true,
commits: 1000,
prs: 50,
issues: 25,
reviews: 10,
repos: 0,
stars: 50,
followers: 10,
}),
).toStrictEqual({ level: "B+", percentile: approxNumber(46.09375) });
});
it("advanced user gets A rank", () => {
expect(
calculateRank({
all_commits: false,
commits: 500,
prs: 100,
issues: 50,
reviews: 20,
repos: 0,
stars: 200,
followers: 40,
}),
).toStrictEqual({
level: "A",
percentile: approxNumber(20.841471354166664),
});
});
it("expert user gets A+ rank", () => {
expect(
calculateRank({
all_commits: false,
commits: 1000,
prs: 200,
issues: 100,
reviews: 40,
repos: 0,
stars: 800,
followers: 160,
}),
).toStrictEqual({
level: "A+",
percentile: approxNumber(5.575988339442828),
});
});
it("sindresorhus gets S rank", () => {
expect(
calculateRank({
all_commits: false,
commits: 1300,
prs: 1500,
issues: 4500,
reviews: 1000,
repos: 0,
stars: 600000,
followers: 50000,
}),
).toStrictEqual({
level: "S",
percentile: approxNumber(0.4578556547153667),
});
});
});