Marco Pasqualettiandmartin-mfg
8c065b473f
* tests: fix float problems and PAT problem * extend CONTRIBUTING.md * extend build documentation, add GH action, fix build on MacOS * fix build on Vercel * update .gitignore and CONTRIBUTING.md * feat: begin work on monorepo * chore(actions/basic-build): use pnpm * fix: vercel-deploy * docs: updates with new folders * chore: apply PR review comments --------- Co-authored-by: martin-mfg <2026226+martin-mfg@users.noreply.github.com>
88 lines
2.3 KiB
JavaScript
88 lines
2.3 KiB
JavaScript
/**
|
|
* Calculates the exponential cdf.
|
|
*
|
|
* @param {number} x The value.
|
|
* @returns {number} The exponential cdf.
|
|
*/
|
|
function exponential_cdf(x) {
|
|
return 1 - 2 ** -x;
|
|
}
|
|
|
|
/**
|
|
* Calculates the log normal cdf.
|
|
*
|
|
* @param {number} x The value.
|
|
* @returns {number} The log normal cdf.
|
|
*/
|
|
function log_normal_cdf(x) {
|
|
// approximation
|
|
return x / (1 + x);
|
|
}
|
|
|
|
/**
|
|
* Calculates the users rank.
|
|
*
|
|
* @param {object} params Parameters on which the user's rank depends.
|
|
* @param {boolean} params.all_commits Whether `include_all_commits` was used.
|
|
* @param {number} params.commits Number of commits.
|
|
* @param {number} params.prs The number of pull requests.
|
|
* @param {number} params.issues The number of issues.
|
|
* @param {number} params.reviews The number of reviews.
|
|
* @param {number} params.repos Total number of repos.
|
|
* @param {number} params.stars The number of stars.
|
|
* @param {number} params.followers The number of followers.
|
|
* @returns {{ level: string, percentile: number }} The users rank.
|
|
*/
|
|
function calculateRank({
|
|
all_commits,
|
|
commits,
|
|
prs,
|
|
issues,
|
|
reviews,
|
|
// eslint-disable-next-line no-unused-vars
|
|
repos, // unused
|
|
stars,
|
|
followers,
|
|
}) {
|
|
const COMMITS_MEDIAN = all_commits ? 1000 : 250,
|
|
COMMITS_WEIGHT = 2;
|
|
const PRS_MEDIAN = 50,
|
|
PRS_WEIGHT = 3;
|
|
const ISSUES_MEDIAN = 25,
|
|
ISSUES_WEIGHT = 1;
|
|
const REVIEWS_MEDIAN = 2,
|
|
REVIEWS_WEIGHT = 1;
|
|
const STARS_MEDIAN = 50,
|
|
STARS_WEIGHT = 4;
|
|
const FOLLOWERS_MEDIAN = 10,
|
|
FOLLOWERS_WEIGHT = 1;
|
|
|
|
const TOTAL_WEIGHT =
|
|
COMMITS_WEIGHT +
|
|
PRS_WEIGHT +
|
|
ISSUES_WEIGHT +
|
|
REVIEWS_WEIGHT +
|
|
STARS_WEIGHT +
|
|
FOLLOWERS_WEIGHT;
|
|
|
|
const THRESHOLDS = [1, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100];
|
|
const LEVELS = ["S", "A+", "A", "A-", "B+", "B", "B-", "C+", "C"];
|
|
|
|
const rank =
|
|
1 -
|
|
(COMMITS_WEIGHT * exponential_cdf(commits / COMMITS_MEDIAN) +
|
|
PRS_WEIGHT * exponential_cdf(prs / PRS_MEDIAN) +
|
|
ISSUES_WEIGHT * exponential_cdf(issues / ISSUES_MEDIAN) +
|
|
REVIEWS_WEIGHT * exponential_cdf(reviews / REVIEWS_MEDIAN) +
|
|
STARS_WEIGHT * log_normal_cdf(stars / STARS_MEDIAN) +
|
|
FOLLOWERS_WEIGHT * log_normal_cdf(followers / FOLLOWERS_MEDIAN)) /
|
|
TOTAL_WEIGHT;
|
|
|
|
const level = LEVELS[THRESHOLDS.findIndex((t) => rank * 100 <= t)];
|
|
|
|
return { level, percentile: rank * 100 };
|
|
}
|
|
|
|
export { calculateRank };
|
|
export default calculateRank;
|