* ci(workflows): call org reusable CI and Fargate CD
Local CI and the image deploy duplicated the org workflows and still required ci / ci. Pin the callers to those workflows and trust the reusable deploy ref.
* test(ci): probe ruff with an undefined name
* test(ci): remove the undefined-name ruff probe
* ci: retrigger checks after removing the ruff probe
* test(ci): probe ruff with an unused import
* style: apply formatter
* test(ci): remove the autofix probe
---------
Co-authored-by: sea-haven-auto-fix[bot] <332630863+sea-haven-auto-fix[bot]@users.noreply.github.com>
Prod is already a human GitHub Release. Remove the SAM tagging path so CHANGELOG.md stays App Home copy and leftover notifier IAM is destroyed on the next apply.
* feat(api): collapse Slack, portal, and jobs onto Fargate (PLAT-216)
Move HTTP and scheduled work onto one always-on Flask task so after-hours
loses Lambda cold start without changing the Cognito or roster contracts.
* fix(portal-api): keep CORS headers on unexpected 500s
Portal SPA error handling needs Access-Control-Allow-Origin even when
DynamoDB or other internals fail, otherwise the browser hides the 500.
* fix(api): retarget holidays per account and ship App Home changelog (PLAT-216)
* fix(iam): list ECS tasks and fail closed on non-prod Paychex (PLAT-216)
* fix(portal-api): serve portal JSON with an explicit JSON content type
* fix(cutover): write Slack secrets into empty Terraform shells
DescribeSecret succeeds on HCP-created shells with no version, so skip-if-exists left roster and Slack tokens unset.
* feat(infra): migrate afterhours to HCP Terraform (PLAT-74)
Replace the mgmt SAM stack with a prod-only HCP workspace, in-repo hcptf IAM, stub Lambdas, and zip CD on push to main.
* fix(cutover): retry DDB unprocessed items and skip past at() holidays
Unprocessed BatchWriteItem rows and leftover past at() schedules would drop roster data or abort holiday recreation during prod cutover.
* Add changelog-driven releases and App Home tab
Version the bot continuously from CHANGELOG.md (the single source of
truth for both the version and the staff-readable notes) and surface
changes to users in two ways:
- A new afterhours-release-notifier Lambda posts a "What's New" message
to the shift channel on minor/major releases (patches stay silent).
- The bot gains an App Home "About" tab showing what it does, the
command list, and the current version's notes.
release.yaml runs on Deploy success (not release:published — GITHUB_TOKEN
events don't start downstream workflows), checks out the deployed commit,
and tags + publishes a GitHub Release + invokes the notifier. It assumes a
dedicated, boundary-carrying OIDC role scoped to InvokeFunction on the
notifier; the account's cfn role gates role creation on that boundary.
The manual Version Bump workflow is retired. A CI guard enforces that a
CHANGELOG edit is a clean SemVer bump and that the in-package copy matches.
* Harden release workflow and regex against CodeQL findings
Address three code-scanning alerts on the PR:
- Critical (actions/untrusted-checkout): split release.yaml into a
read-only `prepare` job that checks out and runs repo code, and a
privileged `publish` job (contents:write + OIDC) that never checks out
repo code — it tags, releases, and invokes purely through the GitHub
and AWS APIs. Also assert head_branch == main.
- High x2 (py/polynomial-redos): rewrite the italic and link regexes in
markdown_to_mrkdwn with possessive quantifiers and exclusive character
classes so they run in linear time on adversarial input. Adds a
regression test.
* Move release/announce into Deploy workflow to clear CodeQL
The workflow_run-triggered release.yaml kept tripping CodeQL's
privileged-context rules (untrusted-checkout, then cache-poisoning) —
CodeQL distrusts any workflow_run that checks out a ref, regardless of
the main-only guarantee, and there is no autofix.
Fold the release job into deploy.yaml gated on `needs: deploy`. A
push-to-main run is a trusted context, so checking out and running repo
code with write/OIDC is safe there. This still gates on deploy success
and serializes via the deploy concurrency group, and removes the
separate workflow entirely.
