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gemini-cli-robot
7faa50cbae
## 1. What the change is This PR refactors the `open_issues.ts` and `open_prs.ts` metric scripts to use the GitHub GraphQL API's `totalCount` field instead of relying on the CLI's `gh issue list` command with a hardcoded limit. It also updates `review_distribution.ts` to include `COLLABORATOR` in the maintainer association check. ## 2. Why it is recommended The current implementation of `open_issues.ts` and `open_prs.ts` used `--limit 1000`, which caused metrics to be capped at 1000 even when the actual backlog was much larger (~2400 issues). This provided a misleading view of repository health and the true scale of the backlog. Using GraphQL `totalCount` ensures accurate counts regardless of list size. Additionally, `review_distribution.ts` was inconsistently excluding `COLLABORATOR` associations, which could lead to an inaccurate representation of review work distribution if many maintainers are designated as Collaborators. This led to a `review_distribution_variance` of 0 in recent runs. ## 3. Which metric or aspect of productivity is expected to be improved - **open_issues**: Will now reflect the true total count (expected to jump from 1000 to ~2400). - **open_prs**: Will reflect the true total count of open pull requests. - **review_distribution_variance**: Will more accurately reflect how review work is shared among all maintainers (including collaborators). ## 4. By how much the metric is expected to improve The `open_issues` metric is expected to increase by approximately **140%** (from 1000 to ~2400) once accurate data is collected. The `review_distribution_variance` is expected to become non-zero, providing a real baseline for monitoring reviewer workload balance.
91 lines
2.4 KiB
TypeScript
91 lines
2.4 KiB
TypeScript
/**
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* @license
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* Copyright 2026 Google LLC
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* SPDX-License-Identifier: Apache-2.0
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*
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* @license
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*/
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import { GITHUB_OWNER, GITHUB_REPO, type MetricOutput } from '../types.js';
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import { execSync } from 'node:child_process';
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try {
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const query = `
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query($owner: String!, $repo: String!) {
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repository(owner: $owner, name: $repo) {
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pullRequests(last: 100) {
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nodes {
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reviews(first: 50) {
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nodes {
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author { login }
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authorAssociation
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}
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}
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}
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}
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}
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}
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`;
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const output = execSync(
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'gh api graphql -F owner=$OWNER -F repo=$REPO -f query=@-',
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{
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encoding: 'utf-8',
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input: query,
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env: { ...process.env, OWNER: GITHUB_OWNER, REPO: GITHUB_REPO },
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},
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);
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const response = JSON.parse(output);
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if (response.errors) {
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throw new Error(response.errors.map((e: any) => e.message).join(', '));
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}
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const data = response.data.repository;
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const reviewCounts: Record<string, number> = {};
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for (const pr of data.pullRequests.nodes) {
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if (!pr.reviews?.nodes) continue;
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// We only count one review per author per PR to avoid counting multiple review comments as multiple reviews
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const reviewersOnPR = new Set<string>();
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for (const review of pr.reviews.nodes) {
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if (
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['MEMBER', 'OWNER', 'COLLABORATOR'].includes(review.authorAssociation) &&
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review.author?.login
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) {
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const login = review.author.login.toLowerCase();
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if (login.endsWith('[bot]') || login.includes('bot')) {
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continue; // Ignore bots
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}
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reviewersOnPR.add(review.author.login);
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}
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}
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for (const reviewer of reviewersOnPR) {
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reviewCounts[reviewer] = (reviewCounts[reviewer] || 0) + 1;
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}
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}
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const counts = Object.values(reviewCounts);
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let variance = 0;
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if (counts.length > 0) {
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const mean = counts.reduce((a, b) => a + b, 0) / counts.length;
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variance =
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counts.reduce((a, b) => a + Math.pow(b - mean, 2), 0) / counts.length;
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}
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const timestamp = new Date().toISOString();
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process.stdout.write(
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JSON.stringify(<MetricOutput>{
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metric: 'review_distribution_variance',
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value: Math.round(variance * 100) / 100,
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timestamp,
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details: reviewCounts,
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}) + '\n',
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);
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} catch (err) {
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process.stderr.write(err instanceof Error ? err.message : String(err));
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process.exit(1);
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}
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