Ranks: Take into account user reviewed PRs count (#2857)

* Rank: Take into account user reviewed PRs count

* e2e

* fix tests

* dev

* docs

* dev

* dev

src/calculateRank.js

@@ -15,6 +15,7 @@ function log_normal_cdf(x) {
  * @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.
@@ -25,6 +26,7 @@ function calculateRank({
   commits,
   prs,
   issues,
+  reviews,
   // eslint-disable-next-line no-unused-vars
   repos, // unused
   stars,
@@ -36,6 +38,8 @@ function calculateRank({
     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,
@@ -45,6 +49,7 @@ function calculateRank({
     COMMITS_WEIGHT +
     PRS_WEIGHT +
     ISSUES_WEIGHT +
+    REVIEWS_WEIGHT +
     STARS_WEIGHT +
     FOLLOWERS_WEIGHT;
 
@@ -56,6 +61,7 @@ function calculateRank({
     (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;

src/fetchers/stats-fetcher.js

@@ -259,6 +259,7 @@ const fetchStats = async (
     all_commits: include_all_commits,
     commits: stats.totalCommits,
     prs: stats.totalPRs,
+    reviews: stats.totalReviews,
     issues: stats.totalIssues,
     repos: user.repositories.totalCount,
     stars: stats.totalStars,