Replaces the per-project deploy scripts and self-contained webhook receivers with one manifest-driven implementation that lives outside the application repositories and can be updated independently of them. First targets: domaindingo test and prod on s5.
2.2 KiB
2.2 KiB
Cloudflare R2 CI Setup
Upload a build artifact (e.g. a status JSON) to an R2 bucket from CI, using
awscli against R2's S3-compatible API.
Cloudflare side
Create a bucket and a write-capable API token/key pair; note the account ID.
CI config
Variables: R2_BUCKET_NAME, R2_ACCOUNT_ID.
Secrets: R2_ACCESS_KEY_ID, R2_SECRET_ACCESS_KEY.
The keys must be passed as AWS_ACCESS_KEY_ID / AWS_SECRET_ACCESS_KEY —
awscli reads those names. Also required: AWS_DEFAULT_REGION=auto and
endpoint https://${R2_ACCOUNT_ID}.r2.cloudflarestorage.com.
Job
publish_status:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v6
- uses: actions/setup-python@v6
with: { python-version: "3.12" }
- run: pip install awscli
- name: Publish to R2
env:
R2_BUCKET_NAME: ${{ vars.R2_BUCKET_NAME }}
R2_ACCOUNT_ID: ${{ vars.R2_ACCOUNT_ID }}
AWS_ACCESS_KEY_ID: ${{ secrets.R2_ACCESS_KEY_ID }}
AWS_SECRET_ACCESS_KEY: ${{ secrets.R2_SECRET_ACCESS_KEY }}
run: |
set -eu
# If publish is optional, skip on missing config; use exit 1 if mandatory.
[ -n "${R2_BUCKET_NAME:-}" ] && [ -n "${R2_ACCOUNT_ID:-}" ] \
&& [ -n "${AWS_ACCESS_KEY_ID:-}" ] && [ -n "${AWS_SECRET_ACCESS_KEY:-}" ] \
|| { echo "Skipping: R2 config not set."; exit 0; }
f="$(mktemp -d)/project-name.json"
cat > "$f" <<EOF
{"generated_at":"$(date -u +"%Y-%m-%d %H:%M UTC")","build":{"state":"passing"}}
EOF
AWS_DEFAULT_REGION=auto aws s3api put-object \
--bucket "$R2_BUCKET_NAME" --key "project-name.json" --body "$f" \
--content-type application/json \
--endpoint-url "https://${R2_ACCOUNT_ID}.r2.cloudflarestorage.com"
Notes
- Keep object keys explicit and stable (
project-name.json,status/project-name.json). For dashboards, don't put commit SHAs in the primary key without also keeping a stable "latest" pointer. - Common failures: wrong account ID (bad endpoint), wrong bucket (auth ok but
write fails), missing AWS env vars (no auth), missing
AWS_DEFAULT_REGION=auto(inconsistent behaviour), using the standard AWS S3 endpoint instead of R2.