Dispatch #3
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# Trigger the execution of workflow in batches. | |
# This workflow is needed since GitHub Actions limits the matrix size to 256 jobs. | |
# We use one job per repository per batch. | |
name: Dispatch | |
on: | |
workflow_dispatch: | |
inputs: | |
workflow: | |
description: "Workflow to dispatch" | |
required: true | |
inputs: | |
description: "Workflow inputs" | |
required: false | |
default: '{}' | |
filter: | |
description: "Filter to apply to the list of repositories" | |
required: false | |
default: 'true' | |
dry-run: | |
description: "Whether to run in dry run mode" | |
required: false | |
default: 'false' | |
concurrency: | |
group: ${{ github.workflow }}-${{ github.ref }} | |
cancel-in-progress: true | |
env: | |
# Number of repositories in a batch. | |
# Matrix jobs within a workflow run are run in parallel. | |
# 256 is the upper limit on the number of matrix jobs. | |
# Batching too many repositories together can result in | |
# could not create workflow dispatch event: HTTP 422: inputs are too large. | |
# This value should be higher than max-parallel in workflow. | |
MAX_REPOS_PER_WORKFLOW: 100 | |
# Number of seconds to wait before starting to watch workflow run. | |
# Unfortunately, the interval on the watch is not configurable. | |
# The delay helps us save on GH API requests. | |
WORKFLOW_COMPLETION_CHECK_DELAY: 60 | |
jobs: | |
matrix: | |
name: Batch targets | |
runs-on: ubuntu-latest | |
outputs: | |
batches: ${{ steps.matrix.outputs.result }} | |
steps: | |
- id: matrix | |
uses: actions/github-script@v6 | |
env: | |
FILTER: ${{ github.event.inputs.filter }} | |
with: | |
github-token: ${{ secrets.UCI_GITHUB_TOKEN }} | |
retries: 0 | |
script: | | |
const request = async function(req, opts) { | |
try { | |
return await req(opts) | |
} catch(err) { | |
opts.request.retries = (opts.request.retries || 0) + 1 | |
if (err.status === 403) { | |
if (err.response.headers['x-ratelimit-remaining'] === '0') { | |
const retryAfter = err.response.headers['x-ratelimit-reset'] - Math.floor(Date.now() / 1000) || 1 | |
core.info(`Rate limit exceeded, retrying in ${retryAfter} seconds`) | |
await new Promise(resolve => setTimeout(resolve, retryAfter * 1000)) | |
return request(req, opts) | |
} | |
if (err.message.toLowerCase().includes('secondary rate limit')) { | |
const retryAfter = Math.pow(2, opts.request.retries) | |
core.info(`Secondary rate limit exceeded, retrying in ${retryAfter} seconds`) | |
await new Promise(resolve => setTimeout(resolve, retryAfter * 1000)) | |
return request(req, opts) | |
} | |
} | |
throw err | |
} | |
} | |
github.hook.wrap('request', request) | |
core.info(`Looking for repositories the user has direct access to`) | |
const items = await github.paginate(github.rest.repos.listForAuthenticatedUser, { | |
affiliation: 'collaborator' | |
}) | |
const maxReposPerWorkflow = parseInt(process.env.MAX_REPOS_PER_WORKFLOW) | |
const batches = [] | |
let batch = [] | |
for (const item of items) { | |
if (item.archived) { | |
core.info(`Skipping archived repository ${item.full_name}`) | |
continue | |
} | |
try { | |
await exec.exec('jq', ['-e', '-n', `${JSON.stringify(item)} | ${process.env.FILTER}`]) | |
} catch(e) { | |
core.info(`Skipping repository ${item.full_name} due to filter`) | |
continue | |
} | |
batch.push(item.full_name) | |
if (batch.length === maxReposPerWorkflow) { | |
batches.push({ | |
key: batches.length, | |
value: batch | |
}) | |
batch = [] | |
} | |
} | |
if (batch.length > 0) { | |
batches.push({ | |
key: batches.length, | |
value: batch | |
}) | |
} | |
return batches | |
dispatch: | |
needs: [ matrix ] | |
name: Dispatch workflow(batch ${{ matrix.cfg.key }}) | |
runs-on: ubuntu-latest | |
strategy: | |
fail-fast: false | |
matrix: | |
# We end up with multiple "dispatch" jobs, | |
# one per BATCHES "key" chunk above with a "value" array. | |
# For each "dispatch" job, matrix.cfg.value is an array, like: | |
# | |
# [ | |
# "repo1", | |
# "repo2" | |
# ] | |
# | |
# The triggered workflow runs use that final array as their matrix. | |
# Since max-parallel here is 1, we'll end up with at most max-parallel from workflow + 1 parallel jobs. | |
# 20 is the upper limit on parallel jobs on a free plan. | |
cfg: ${{ fromJSON(needs.matrix.outputs.batches) }} | |
max-parallel: 1 | |
env: | |
GITHUB_TOKEN: ${{ secrets.UCI_GITHUB_TOKEN }} | |
WORKFLOW: ${{ github.event.inputs.workflow }} | |
steps: | |
- id: dispatch | |
name: Dispatch workflow | |
env: | |
TARGETS: ${{ toJSON(matrix.cfg.value) }} | |
INPUTS: ${{ github.event.inputs.inputs }} | |
REPO: ${{ github.repository }} | |
DRY_RUN: ${{ github.event.inputs.dry-run }} | |
run: | | |
start_date="$(date +%s)" | |
args=() | |
for key in $(jq -r 'keys[]' <<< "$INPUTS"); do | |
args+=("--field" "$key=$(jq -r ".$key" <<< "$INPUTS")") | |
done | |
if [[ "$DRY_RUN" == "true" ]]; then | |
echo "DRY RUN: gh workflow run $WORKFLOW --ref $GITHUB_REF --repo $REPO --field targets=$TARGETS ${args[@]}" | |
else | |
gh workflow run "$WORKFLOW" --ref "$GITHUB_REF" --repo "$REPO" --field "targets=$TARGETS" ${args[@]} | |
fi | |
echo "start_date=$start_date" | tee -a $GITHUB_OUTPUT | |
- id: run | |
name: Wait for workflow run to start | |
if: ${{ !github.event.inputs.dry-run }} | |
env: | |
START_DATE: ${{ steps.dispatch.outputs.start_date }} | |
REPO: ${{ github.repository }} | |
run: | | |
# checks every 3 seconds until the most recent workflow run's created_at is later than this job's start_date | |
while sleep 3; do | |
run="$(gh api "/repos/$REPO/actions/workflows/$WORKFLOW/runs?per_page=1" --jq '.workflow_runs[0]')" | |
# nothing to check if no workflow run was returned | |
if [[ ! -z "$run" ]]; then | |
run_start_date="$(date --date="$(jq -r '.created_at' <<< "$run")" +%s)" | |
if [[ "$run_start_date" > "$START_DATE" ]]; then | |
echo "id=$(jq -r '.id' <<< "$run")" | tee -a $GITHUB_OUTPUT | |
break | |
fi | |
fi | |
done | |
- name: Wait for workflow run to complete | |
if: ${{ !github.event.inputs.dry-run }} | |
env: | |
RUN_ID: ${{ steps.run.outputs.id }} | |
REPO: ${{ github.repository }} | |
run: | | |
# delays checking workflow's run status to save on GH API requests | |
sleep $WORKFLOW_COMPLETION_CHECK_DELAY | |
# checks every 3 seconds until the workflow run's status is completed | |
# redirects the stdout to /dev/null because it is very chatty | |
gh run watch "$RUN_ID" --repo "$REPO" > /dev/null |