Close stale pull requests #1319
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| # A workflow that implements similar logic to actions/stale. | |
| # | |
| # Compared to actions/stale, it is implemented to make API requests proportional | |
| # to the number of stale PRs, not the total number of issues in the repo. This | |
| # is because PyTorch has a lot of issues/PRs, so the actions/stale runs into | |
| # rate limits way too quickly. | |
| # | |
| # The behavior is: | |
| # - If a PR is not labeled stale, after 60 days inactivity label the PR as stale and comment about it. | |
| # - If a PR is labeled stale, after 30 days inactivity close the PR. | |
| # - `high priority` and `no-stale` PRs are exempt. | |
| name: Close stale pull requests | |
| on: | |
| schedule: | |
| # Run hourly. | |
| - cron: 30 * * * * | |
| jobs: | |
| stale: | |
| if: ${{ github.repository == 'pytorch/pytorch' }} | |
| runs-on: ubuntu-latest | |
| steps: | |
| - uses: actions/github-script@v6 | |
| with: | |
| script: | | |
| // Do some dumb retries on requests. | |
| const retries = 7; | |
| const baseBackoff = 100; | |
| const sleep = timeout => new Promise(resolve => setTimeout(resolve, timeout)); | |
| github.hook.wrap('request', async (request, options) => { | |
| for (let attempt = 1; attempt <= retries; attempt++) { | |
| try { | |
| return await request(options); | |
| } catch (err) { | |
| if (attempt < retries) { | |
| core.warning(`Request getting retried. Attempt: ${attempt}`); | |
| await sleep(baseBackoff * Math.pow(2, attempt)); | |
| continue; | |
| } | |
| throw err; | |
| } | |
| } | |
| }); | |
| const MAX_API_REQUESTS = 100; | |
| // If a PRs not labeled stale, label them stale after no update for 60 days. | |
| const STALE_LABEL_THRESHOLD_MS = 1000 * 60 * 60 * 24 * 60; | |
| // For PRs already labeled stale, close after not update for 30 days. | |
| const STALE_CLOSE_THRESHOLD_MS = 1000 * 60 * 60 * 24 * 30; | |
| const STALE_MESSAGE = | |
| "Looks like this PR hasn't been updated in a while so we're going to go ahead and mark this as `Stale`. <br>" + | |
| "Feel free to remove the `Stale` label if you feel this was a mistake. <br>" + | |
| "If you are unable to remove the `Stale` label please contact a maintainer in order to do so. <br>" + | |
| "If you want the bot to never mark this PR stale again, add the `no-stale` label.<br>" + | |
| "`Stale` pull requests will automatically be closed after 30 days of inactivity.<br>"; | |
| let numAPIRequests = 0; | |
| let numProcessed = 0; | |
| async function processPull(pull) { | |
| core.info(`[${pull.number}] URL: ${pull.html_url}`); | |
| numProcessed += 1; | |
| const labels = pull.labels.map((label) => label.name); | |
| // Skip if certain labels are present. | |
| if (labels.includes("no-stale") || labels.includes("high priority")) { | |
| core.info(`[${pull.number}] Skipping because PR has an exempting label.`); | |
| return false; | |
| } | |
| // Check if the PR is stale, according to our configured thresholds. | |
| let staleThresholdMillis; | |
| if (labels.includes("Stale")) { | |
| core.info(`[${pull.number}] PR is labeled stale, checking whether we should close it.`); | |
| staleThresholdMillis = STALE_CLOSE_THRESHOLD_MS; | |
| } else { | |
| core.info(`[${pull.number}] Checking whether to label PR as stale.`); | |
| staleThresholdMillis = STALE_LABEL_THRESHOLD_MS; | |
| } | |
| const millisSinceLastUpdated = | |
| new Date().getTime() - new Date(pull.updated_at).getTime(); | |
| if (millisSinceLastUpdated < staleThresholdMillis) { | |
| core.info(`[${pull.number}] Skipping because PR was updated recently`); | |
| return false; | |
| } | |
| // At this point, we know we should do something. | |
| // For PRs already labeled stale, close them. | |
| if (labels.includes("Stale")) { | |
| core.info(`[${pull.number}] Closing PR.`); | |
| numAPIRequests += 1; | |
| await github.rest.issues.update({ | |
| owner: "pytorch", | |
| repo: "pytorch", | |
| issue_number: pull.number, | |
| state: "closed", | |
| }); | |
| } else { | |
| // For PRs not labeled stale, label them stale. | |
| core.info(`[${pull.number}] Labeling PR as stale.`); | |
| numAPIRequests += 1; | |
| await github.rest.issues.createComment({ | |
| owner: "pytorch", | |
| repo: "pytorch", | |
| issue_number: pull.number, | |
| body: STALE_MESSAGE, | |
| }); | |
| numAPIRequests += 1; | |
| await github.rest.issues.addLabels({ | |
| owner: "pytorch", | |
| repo: "pytorch", | |
| issue_number: pull.number, | |
| labels: ["Stale"], | |
| }); | |
| } | |
| } | |
| for await (const response of github.paginate.iterator( | |
| github.rest.pulls.list, | |
| { | |
| owner: "pytorch", | |
| repo: "pytorch", | |
| state: "open", | |
| sort: "created", | |
| direction: "asc", | |
| per_page: 100, | |
| } | |
| )) { | |
| numAPIRequests += 1; | |
| const pulls = response.data; | |
| // Awaiting in a loop is intentional here. We want to serialize execution so | |
| // that log groups are printed correctl | |
| for (const pull of pulls) { | |
| if (numAPIRequests > MAX_API_REQUESTS) { | |
| core.warning("Max API requests exceeded, exiting."); | |
| process.exit(0); | |
| } | |
| await core.group(`Processing PR #${pull.number}`, async () => { | |
| await processPull(pull); | |
| }); | |
| } | |
| } | |
| core.info(`Processed ${numProcessed} PRs total.`); |