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https://github.com/google-gemini/gemini-cli.git
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gemini-cli[bot]
6ec068c2ab
Fix Metrics History Retention & Accuracy This PR addresses several issues identified in the repository's metrics collection and analysis pipeline: 1. **Increased History Retention**: Increased the rolling window in `metrics/index.ts` from 100 rows to 5000 rows. The previous limit was too small (holding only ~1.5 runs of data), which prevented meaningful delta calculations. 2. **Restored Backlog Age Metric**: Re-introduced `backlog_age.ts` to calculate the average age of the oldest 100 open issues. This provides visibility into backlog stagnation. 3. **Enhanced Throughput Accuracy**: Updated `throughput.ts` to distinguish between items **authored** by maintainers and items **processed** (merged/closed) by maintainers. This gives a more accurate measure of maintainer velocity. 4. **Added Bottleneck Analysis**: Introduced `bottlenecks.ts` to sample open PRs and identify if they are likely waiting on a maintainer review or an author's response. These changes will significantly improve the "Brain's" ability to identify trends and bottlenecks in the repository workflow. # Impact - More accurate 7-day and 30-day deltas for all metrics. - Better visibility into maintainer workload and backlog health. - Data-driven identification of whether bottlenecks are due to maintainer capacity or author responsiveness.
75 lines
2.0 KiB
TypeScript
75 lines
2.0 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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import { GITHUB_OWNER, GITHUB_REPO } 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: $repo) {
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pullRequests(states: OPEN, last: 50) {
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nodes {
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author { login }
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timelineItems(last: 10, itemTypes: [ISSUE_COMMENT, PULL_REQUEST_REVIEW, PULL_REQUEST_REVIEW_COMMENT]) {
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nodes {
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... on IssueComment { author { login } createdAt }
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... on PullRequestReview { author { login } createdAt }
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... on PullRequestReviewComment { author { login } createdAt }
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}
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}
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}
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}
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}
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}
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`;
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const output = execSync(
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`gh api graphql -F owner=${GITHUB_OWNER} -F repo=${GITHUB_REPO} -f query='${query}'`,
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{ encoding: 'utf-8' },
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);
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const data = JSON.parse(output).data.repository;
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const prs = data.pullRequests.nodes;
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let waitingOnMaintainer = 0;
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let waitingOnAuthor = 0;
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for (const pr of prs) {
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const author = pr.author?.login;
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if (!author) continue;
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const items = pr.timelineItems.nodes as {
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author: { login: string };
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createdAt: string;
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}[];
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if (items.length === 0) {
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waitingOnMaintainer++;
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continue;
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}
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// Sort by createdAt just in case
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items.sort(
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(a, b) =>
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new Date(a.createdAt).getTime() - new Date(b.createdAt).getTime(),
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);
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const lastItem = items[items.length - 1];
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const lastActor = lastItem.author?.login;
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if (lastActor === author) {
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waitingOnMaintainer++;
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} else {
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waitingOnAuthor++;
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}
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}
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process.stdout.write(
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`prs_waiting_on_maintainer_sample,${waitingOnMaintainer}\n`,
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);
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process.stdout.write(`prs_waiting_on_author_sample,${waitingOnAuthor}\n`);
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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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