Close stale pull requests #7841
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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.`); |