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Deploy ordering

Coolify handles the standard deploy ordering automatically: the container image is pulled, docker-entrypoint.sh runs prisma migrate deploy against the live database, and only then does the Next.js process bind to the listener. This page documents the ordering explicitly for manual-rollback and partial-deploy scenarios where the operator drives the steps by hand.

Migration ordering

Migrations land before the new app container takes traffic. The canonical command sequence on a single-instance host:

# 0. Nothing to do by hand for the way back: when the new image brings
#    migrations, its entrypoint first writes
#    healthlog-<time>-pre-migration.dump into DB_BACKUP_DIR (the `backups`
#    volume) and keeps the last two. A migration is not undone by going back
#    to the previous image; that dump is the way back
#    (docs/ops/disaster-recovery.md, "Going back to before a migration").
#    Copy it off the host if the host itself is what you are worried about.

# 1. Pull the new image. If you pin a version with HEALTHLOG_IMAGE_REF,
#    set it to the new one first.
docker compose pull app

# 2. Run the migrations with the new image before it takes traffic. The
#    one-off container starts inside the stack, so it reaches the database
#    as `db` and gets the same environment as the app. Its entrypoint
#    applies the migrations and exits; a failed migration stops here.
docker compose run --rm app sh -c 'exit 0'

# 3. Recreate the app container so it picks up the new image.
docker compose up -d app

Step 2 takes the pre-migration dump too, in the one-off container, before it migrates. When the backups directory is on its volume and that dump fails (a full disk, most often), the entrypoint stops before migrating and says so; free the space and run the step again, or set DB_BACKUP_BEFORE_MIGRATE=false for one start without the dump. Without the backups volume the directory is not writable, or it is the image's own and sits inside the container that the update replaces; either way the log carries a warning, no dump is taken, and the migrations run.

Use docker compose run rather than a plain docker run for step 2. A plain docker run starts outside the stack's network, where db does not resolve, and the entrypoint gives up after thirty seconds with "Database not reachable". The entrypoint also runs the migrations on every boot, so step 2 is optional; it is there for when you want to see the migration result before the new container takes traffic.

The entrypoint runs every migration in a UTC session, the zone the app's own connections use, whatever the database's default TimeZone is: it adds -c TimeZone=UTC to the options parameter of DATABASE_URL for the Prisma calls (an options value you set yourself is kept, with the pin after it). Behind a connection pooler that refuses options, the DATABASE_SESSION_OPTIONS_DISABLED switch turns this off along with the app's own session settings; set the database or role default to UTC there (ALTER DATABASE healthlog SET timezone = 'UTC').

A migration that timed out on a lock

Some migrations bound how long they wait for a table lock, so that a long-running holder (most often an autovacuum that is preventing transaction-ID wraparound, which does not step aside) cannot queue every write to that table behind the migration. Migration 0412 waits at most ten seconds for measurements. When the wait runs out, the boot log shows Prisma's report followed by a line from the entrypoint:

Error: P3018
...
Migration name: 0412_measurement_hot_updates

Database error code: 55P03
...
HealthLog: migration 0412_measurement_hot_updates timed out waiting for a lock (55P03) and changed nothing; marking it rolled back and retrying in 15s (retry 1 of 5).

A marked migration that loses a deadlock against an app transaction (Database error code: 40P01) is in the same state, its block rolled back whole, and is handled the same way; the entrypoint's line then says was cancelled in a deadlock (40P01).

What happens on its own: such a migration is written so that a timed-out attempt changes nothing, and it says so in its file (-- @retry-on-lock-timeout). The entrypoint then marks that one migration rolled back (prisma migrate resolve --rolled-back) and runs migrate deploy again after 15, 30, 60, 120 and 240 seconds. The app starts as soon as an attempt gets the lock. A later boot that finds the attempt still on record (Prisma's P3009) reads the cause from _prisma_migrations and does the same. Nothing else is retried: any other failure, and a lock timeout in a migration that does not carry the marker, stops the boot exactly as before.

The retries fit inside the container's health check: its start period is ten minutes (docker-compose.yml and the image's own HEALTHCHECK), so failed probes while the entrypoint is still migrating do not mark the container unhealthy. The first probe that answers ends the start period, so a normal boot is reported healthy within half a minute of the server listening.

If all five retries time out, the log ends with HealthLog: ERROR — migration … timed out on a lock 6 times in a row; giving up. and the container exits. Something has held the table for about eight minutes. Find it:

docker compose exec db psql -U healthlog -c "
  SELECT pid, backend_type, state, now() - xact_start AS running, query
    FROM pg_stat_activity
   WHERE pid IN (SELECT pid FROM pg_locks
                  WHERE relation = 'measurements'::regclass)"

An autovacuum: VACUUM … (to prevent wraparound) row finishes on its own; wait for it to disappear and start the container again (a restart policy does that for you, and each boot retries). Anything else is a session you can judge: a stuck client may be ended with SELECT pg_terminate_backend(<pid>). You never need to run migrate resolve by hand for this case.

A concurrent index build that failed

A migration that builds an index CONCURRENTLY (0477 is one) and fails half-way, on a constraint violation, a cancel or a killed container, leaves an INVALID index behind and its attempt on record as failed. Once you have mended the cause and run prisma migrate resolve --rolled-back <migration>, the next boot drops that INVALID index before it migrates, logs dropped the invalid index …, and the re-run builds it again. Without that step the re-run would find the index by name and skip it.

A build that is still running looks the same, INVALID with its migration not yet finished. The boot therefore leaves every index alone while another instance is migrating (it checks Prisma's migration lock first) and never drops an index Postgres reports as being built, so a second container that starts during the first one's migration cannot cancel it.

An INVALID index whose migration is already recorded applied is not touched at boot. The boot names it on stderr with WARNING — index … is INVALID; rebuild it with REINDEX INDEX CONCURRENTLY "<index>"; when the database is quiet.

The app's database role

The steps above run as the owner DATABASE_URL names: the dump, the migrations and, after them, the job queue's own install or migration and the setup of healthlog_app_<database>_<hash>, the role the app then connects as (database-role.md). Neither the app nor its queue ever runs a migration. A migration that creates a table needs nothing more: the setup grants the role every table it lacks before the app starts.

The queue schema pgboss stays the owner's. When an update brings a newer pg-boss with a schema migration, the start runs it as the owner, including its index builds, before the app starts; on a large queue that start takes as long as the builds. Stop the old container (and a separate worker) before the new one starts, as for any update with migrations. A web container and a worker container that start together wait for each other on an advisory lock and derive the same password. Going back to 1.46 runs as the owner, as 1.46 always did, and finds nothing in the queue schema it did not create.

v1.46.0 notes

  • Postgres 18. The compose file moves the bundled database from Postgres 16 to 18. The first docker compose up -d with the new compose file runs db-upgrade, which copies the database into a new postgres-data volume, checks every table's row count, and only then lets the app start; the old pgdata volume stays as it was, as the way back. Pulling only the new image with the old compose file keeps 16, which this release still runs on. Details, rollback and the steps for a database you run yourself: postgres-major-upgrade.md.
  • Migration 0485 drops preview_features_json from users, the same pattern as 0430 in v1.44.0 below: do not run the previous image beside the new schema. The sequence above stops the old container first; a web/worker split stops both roles before the first new container starts.
  • Migration 0487 drops four columns from app_settings (encryption_key_backup_confirmed_at, _key_id, _fingerprint and _by_user_id) after carrying the confirmation they held into the new recovery_kit_confirmations table. The previous image reads those columns on nearly every request that loads the instance settings and fails once they are gone, so the same rule holds: never run it beside the new schema.
  • The other migrations create tables (0486, 0487), add columns (0480, 0482, 0483, 0488, 0489) and build two indexes: 0477 concurrently on measurements, 0488 without CONCURRENTLY on users, which is small enough that the short lock does not matter. Three touch rows: 0476 links API-written measurements to their token on accounts that have exactly one measurement token, and 0478/0479 give PDFs whose preview or text read failed one more attempt. On a prod-sized copy all of them together finished in under a second.
  • Rolling back to v1.45 while accounts are pending deletion. v1.46 keeps a deleted account, a deleted managed profile and a data wipe's copy for a grace window (0488). v1.45 knows none of that: an account pending deletion can sign in again with its password and every background job runs for it again, nothing ever erases it, a wipe's off-host purge held to the end of its window runs at once, and v1.45's wipe deletes the copies taken before earlier wipes. Before going back, list the accounts with SELECT id, username, deletion_purge_at FROM users WHERE deletion_requested_at IS NOT NULL; and either undo each deletion in the admin users list or let the purge finish them first; after coming forward again, delete any that should still go.

v1.45.0 notes

A single-container install (HEALTHLOG_PROCESS_TYPE=all, the shipped compose file) needs no action: the sequence above applies the one migration and the job-queue upgrade on the first boot.

  • Migration 0471 adds one nullable column to healthkit_type_syncs. It is additive and rewrites no rows.
  • The job queue library moves its own schema from version 45 to 46 (new columns on its queue table, four indexes built concurrently afterwards). Only a worker process runs that upgrade; a web-only process opens its send-only connection without migrating and refuses a schema older than its own (pg-boss database requires migrations), so it cannot queue anything until the upgrade has run. A web/worker split therefore deploys in this order: stop both roles, start the new worker and wait until its startup log line carries "reminder_worker": "started", then start the new web containers. The other order leaves the web containers without a queue (imports and document reads answer 503 Background worker is not running) until they are restarted after the worker. An old web container left running beside the upgraded schema loses its queue the next time it reconnects.
  • The shipped compose file gives the app stop_grace_period: 45s, so a redeploy lets running jobs finish instead of cutting them off after Docker's default ten seconds. A forked or older compose file should add the same line to the app and worker services.

v1.44.0 notes

Migration 0430 drops the insights_cached_text column from users. A process still running the previous image selects that column on every full user read and fails once it is gone, so do not run old and new containers side by side across this release: stop the old app container, let the new one apply the migrations, then start it (the sequence above does this on a single host). A web/worker split deployment stops both roles before the first new container starts. Rolling back to an image older than v1.44.0 needs the column back first (see Rollback below).

v1.11.0 notes

Migrations 0110–0114 are additive (new tables / columns for the WHOOP provider hub, the longitudinal coach, and the clinician FHIR record). They require no special steps — prisma migrate deploy runs them in order on boot like any other.

WHOOP introduces two optional instance env vars, WHOOP_REDIRECT_URI and WHOOP_WEBHOOK_SECRET (HMAC secret for WHOOP webhook signature verification). Per-user WHOOP client id/secret live in Settings, not in the environment. See docs/integrations/whoop.md. The shipped docker-compose.yml already whitelists both under environment:; only a forked or older compose file needs them added by hand, since vars not on the whitelist never reach the container.

What goes wrong if you reverse it

If the new app container starts before migrations run, the legacy schema is missing the columns / indexes / enum values the new code expects. Symptoms: Prisma client throws P2022 column does not exist on the first query that touches the new shape, the request path 500s, and the dispatcher logs fill with the same error until the migration catches up. Health checks usually keep the container marked "healthy" because /api/version doesn't exercise the affected tables — so a naïve load balancer will happily route real traffic into the broken shell.

Rollback

Rolling back migrations is generally one-way. Prisma's migration history table tracks applied migrations by hash; the down step is not auto-generated and most HealthLog migrations are forward-only (column drops, enum additions, index rebuilds). If a release has to roll back:

  1. Roll back the app container to the previous image tag.
  2. Leave the database schema at the newer migration. The previous app version reads forward-compatible-ish shapes for nearly every release pair shipped on the v1.4.x line.
  3. If a column-drop migration ships in the rollback target, hand-roll the column back via a fresh forward migration (pnpm prisma migrate dev --create-only --name vX_Y_Z_rollback_<col>), edit the SQL, commit, and re-deploy. Never migrate resolve --rolled-back against production unless you've taken a fresh pg_dump first. The columns each release drops are named in its notes above: for v1.46.0 that is users.preview_features_json (0485) and the four app_settings.encryption_key_backup_confirmed_* columns (0487); the key backup confirmation then has to be given again on v1.45.
  4. Rolling back from v1.40.2 or later to v1.40.1 or earlier: an account that saved the Coach lookback "Last year" reads its whole Coach preference blob as defaults on the older version, metric exclusions included, until the setting is saved again. Ask affected accounts to pick another lookback before the rollback, or re-save their exclusions after it.

When the data itself has to go back to before the update, restore the pre-migration dump with the previous image; the steps are in disaster-recovery.md.

Catalog templates

The TrueNAS catalog bot follows new image tags on its own, so a routine release needs nothing there. These changes do need a matching pull request to truenas/apps (ix-dev/community/healthlog/) in the same release cycle, and an update to docs/self-hosting/unraid/healthlog.xml and docs/self-hosting/portainer/templates.json:

  • a new required environment variable, or a new format or minimum for an existing one (the form validates the secrets);
  • a changed listening port, health check path or health semantics, or start time beyond the template's five-minute start period;
  • a required PostgreSQL major version, or an extension the stock postgres image does not ship;
  • any other change to the compose shape: a new container, a volume the app must write to, a different user.

The catalog app sets HEALTHLOG_PLATFORM=truenas, PORT, HOSTNAME, DATABASE_URL, ENCRYPTION_KEY, API_TOKEN_HMAC_KEY, APP_URL, NEXT_PUBLIC_APP_URL and SESSION_COOKIE_SECURE; everything else reaches it through the form's additional environment variables. See docs/self-hosting/truenas.md for the operator side.

Verify the served version

The queued-deploy status is not the source of truth — the version /api/version actually answers is. A BuildKit layer-cache hit can re-ship the prior image even when Coolify reports a clean deploy, so always confirm the served build after a deploy:

# Asserts prod + demo serve 1.9.0, prints each target's buildSha,
# exits non-zero on a mismatch or timeout after a bounded retry loop.
HEALTHLOG_PROD_URL=https://healthlog.example.com \
  pnpm dlx tsx scripts/assert-deploy.ts 1.9.0

HEALTHLOG_PROD_URL is the base URL of your instance; it has no default and is required unless you pass --only=demo. Pass --only=prod / --only=demo to check a single target, or --attempts=N --interval=ms to widen the retry window while a slow pull settles.

The worker loads each job's handler module on that job's first run, so a module the image cannot load does not stop the worker from starting. Once it has bound its queues, the worker loads every handler a single time in the background and reports each one that fails, normally within a minute of start. Each failure is a job.run.failed event at error with reason: "handler_load_failed" and the queue's name, and stderr also gets [pg-boss] [registry] preloaded N/M job handlers; failed to load: <queues>. If either shows up after a deploy, the image is broken for those queues, and their jobs will fail when they run. Roll back (see Rollback above) instead of waiting for the retries to run out:

docker compose logs --since 5m app 2>&1 | grep -E 'handler_load_failed|failed to load:'

Walk the synthetic journey

The version check proves the instance serves the right build. It does not prove a person can use it. scripts/synthetic-journey.mjs walks the shortest journey that touches the whole stack — sign in, write a reading, read it back, delete it again — against a running instance:

# Plain Node 22, no dependencies: runs from a workstation, a runner, or
# the deploy host. Warms the instance first, then asserts each leg.
BASE_URL=https://review.healthlog.dev \
SYNTHETIC_USERNAME=<probe account> \
SYNTHETIC_PASSWORD=<its password> \
EXPECTED_VERSION=v1.38.13 \
  node scripts/synthetic-journey.mjs

It prints one line per leg with the elapsed time and stops at the first failure with the status and a redacted body excerpt. The warm-up hit on each route is timed but discarded — the first request after a deploy pays the cold-start cost and says nothing about the instance's steady state.

The same journey is available as the Synthetic journey workflow (workflow_dispatch, inputs base_url and expected_version), which reads the credentials from the SYNTHETIC_USERNAME / SYNTHETIC_PASSWORD repository secrets. Nothing calls it from the deploy path; run it by hand after a deploy until a target instance is settled.

Two preconditions on the probe account: it must be password-only, because the password flow stops at the MFA ticket for an account with a second factor, and the target must not be the demo instance, where every mutation is blocked and the write leg would be red for a reason unrelated to the deploy.

A red result. The leg that failed names the layer:

Red leg What it means
version The instance serves a different build than the tag you deployed. Check the image digest and the pull_policy before looking anywhere else.
sign in Sessions are broken, or the probe account gained a second factor. A 429 here is the login rate limit, not the deploy.
write The write path is down: database, encryption keys, or a migration that did not run.
read back A value was written and cannot be read back — the shape this project keeps rediscovering. Roll back.
delete The write path works and the reversible delete does not; the probe reading is still on the account and needs removing by hand.

Run node scripts/synthetic-journey.mjs --self-test to confirm the check itself still works: it walks the journey against an in-process instance once per leg with that leg broken, and fails if any of them comes back green.

Error reporting

HealthLog ships no default error-reporting target and never will: an operator's crash reports must not leave their host because nobody told them not to. Reporting starts only when someone types a DSN into Admin → Integrations → GlitchTip, and that card states plainly whether reports are going anywhere and which host they go to.

For a maintainer-operated instance, set the DSN there after the first deploy — it lives in the database, not in the environment, so it survives an image upgrade and does not need a compose change.

The badge on that card tracks delivery, not intent. A DSN that is set and parses is not the same fact as reports arriving: a wrong public key, a wrong project id and a host that stopped answering all parse. So the card is green only while a report has actually left this host inside the last fortnight, amber while a target is set and nothing has come back from it, and it names the reason underneath when the last attempt was refused. Press Test to prove the target on demand — that send is recorded like any other, so the badge answers immediately.

Verify the image signature

Every release image (the multi-arch manifest index, covering both amd64 and arm64) is signed keyless via Sigstore in the docker-publish.yml merge job: GitHub's OIDC token is exchanged for a short-lived Fulcio certificate bound to the workflow identity, and the signature lands in the Rekor transparency log. There is no long-lived signing key to leak or rotate.

Verify before (or after) a deploy with cosign:

cosign verify \
  --certificate-oidc-issuer https://token.actions.githubusercontent.com \
  --certificate-identity-regexp 'https://github.com/MBombeck/HealthLog/\.github/workflows/docker-publish\.yml@refs/tags/v.*' \
  ghcr.io/mbombeck/healthlog:1.16.4

A passing verification proves the image was built by this repository's release workflow on a v* tag — not by anyone who merely obtained push access to the GHCR package.

Prefer digest-pinned deploys

Tags (:latest, :1.16.4) are mutable aliases: a registry-side compromise or an accidental re-push can repoint them. The digest is the image's only immutable identity, and it is what the signature actually covers. For any deploy where supply-chain integrity matters more than convenience:

The compose file carries the hook for this: the app service image is ghcr.io/mbombeck/healthlog${HEALTHLOG_IMAGE_REF:-:latest}. Unset, the day-to-day :latest + pull_policy: always flow stays the documented default for self-hosters. Set HEALTHLOG_IMAGE_REF in the compose .env (or the deployment platform's env vars) to switch the reference without touching the file:

  • HEALTHLOG_IMAGE_REF=:v1.16.5 — pin to a release tag (still mutable).
  • HEALTHLOG_IMAGE_REF=@sha256:<digest> — pin to the immutable digest.

Bumping a digest pin by hand

A digest-pinned instance never follows a release on its own — an image promote does not touch the pin, so moving it is part of shipping. The mechanic, end to end:

  1. Resolve the new release's digest from the registry (the manifest-list digest, which covers both architectures):

    docker buildx imagetools inspect ghcr.io/mbombeck/healthlog:v1.37.20 \
      | grep -m1 Digest
    
  2. Set HEALTHLOG_IMAGE_REF=@sha256:<that digest> where the compose environment lives — the .env next to the compose file, or the deployment platform's env vars for the app service.

  3. Deploy as usual.

  4. Verify /api/version on the target — and verify it three times a few seconds apart, not once: during the container swap a single probe can be answered by the outgoing container (or a cache) and read as success while the old release keeps running. Three stable answers reporting the shipped version + buildSha are the signal; a deploy that finishes suspiciously fast (under ~30 s) is a warning that nothing was actually pulled.

A pin is sticky, and a stale pin is silent. Once set, every later deploy ships that reference until someone changes it. The deploy still reports success, the tag still builds, the image still publishes, and the running instance stays on the old release. If you pin, bumping the pin is part of shipping, not an afterthought. If you would rather not carry that step, leave the variable unset: docker-publish.yml rotates :latest on every release tag without a pre-release suffix, so the git tag stays the single place a version is declared.

Two checks after any deploy, because the first alone can be served from a cache: /api/version must report the version and commit you shipped, and the running container's image must be the one you expect (docker inspect <container> --format '{{.Config.Image}}'). A deploy that finishes suspiciously fast is a signal rather than good news. Also watch for a DUPLICATE HEALTHLOG_IMAGE_REF entry: Coolify accepts two rows with the same key without warning, and which one wins is not defined.

Promote a release to a pinned digest

scripts/promote-digest.ts automates the whole promotion after docker-publish.yml has pushed a tag:

pnpm dlx tsx scripts/promote-digest.ts v1.16.5

It resolves the multi-arch index digest from the GHCR registry API (anonymous pull token, no docker daemon), verifies the keyless cosign signature against the workflow identity (fails closed — no cosign, no promotion), and prints the resulting HEALTHLOG_IMAGE_REF=@sha256:… value.

For a Coolify-managed deployment it can also apply the pin. Two facts about Coolify shape the mechanism (verified against the Coolify OpenAPI spec and a live instance):

  • For a git-based "Docker Compose" application, Coolify re-reads the compose file from the repository checkout on every deploy. docker_compose_raw is its stored copy of that file, and the application-update API (PATCH /api/v1/applications/{uuid}) does not accept the field — editing the stored compose is neither possible via API nor durable.
  • Application env vars are durable, exposed via the documented /api/v1/applications/{uuid}/envs endpoints, and interpolated into the compose at deploy time.

So the pin travels as the HEALTHLOG_IMAGE_REF env var. With COOLIFY_API_TOKEN, COOLIFY_API_URL and COOLIFY_APP_UUID in the environment the script creates/updates the var itself (add PROMOTE_DEPLOY=1 to also trigger the redeploy); without a token it prints the equivalent curl commands:

curl -sS -X PATCH "https://<coolify-host>/api/v1/applications/<app-uuid>/envs" \
  -H "Authorization: Bearer <token>" -H "Content-Type: application/json" \
  -d '{"key":"HEALTHLOG_IMAGE_REF","value":"@sha256:<digest>"}'

curl -sS "https://<coolify-host>/api/v1/deploy?uuid=<app-uuid>" \
  -H "Authorization: Bearer <token>"

After the deploy settles, confirm /api/version reports the released version + buildSha on every target (see above).

Rollback: re-run the script with the previous tag (or PATCH the env var back to the previous digest / to empty for :latest) and redeploy. Digest pinning trades the automatic :latest pickup for determinism — a pinned instance only moves when the var moves, so the promotion step becomes part of the release routine, not an optional extra.

Digest pinning is the recommended hardening for operators with a threat model that includes the registry; :latest remains the low-friction default.

Deploy-status webhook: replay protection

POST /api/internal/deploy-webhook accepts two kinds of request.

  • Secret header. X-Deploy-Webhook-Secret carries the shared secret. This is what Coolify's stock notification sender can do. It does not protect against a replay: anyone who captures one request holds the secret and can send any request they like. An X-Deploy-Webhook-Timestamp beside it is still checked (a stale or unparseable one is refused with 401 {"status":"stale"}), but it is covered by nothing, so treat it as a staleness hint. Versions before 1.46 described it as replay protection.
  • Signature. X-Deploy-Webhook-Signature: sha256=<hex> is the HMAC-SHA256, under DEPLOY_WEBHOOK_SECRET, of the X-Deploy-Webhook-Timestamp value, a dot, and the exact request body. The timestamp (unix seconds, unix milliseconds or ISO-8601) must lie within 5 minutes of server time. A signed request sends no secret, and a captured one is useless once the window has passed.

Two settings tighten this:

  • DEPLOY_WEBHOOK_REQUIRE_TIMESTAMP=true requires a fresh X-Deploy-Webhook-Timestamp on a request that uses the secret header; one without it is refused with 401 {"status":"stale"}. This is what the setting has always meant. It keeps an old capture out, but not someone who saw the secret and sends a new request with a new timestamp.
  • DEPLOY_WEBHOOK_REQUIRE_SIGNATURE=true accepts signed requests only; the secret header alone is refused with 401. This is the one that stops a replay. Use it when the sender, or a small relay in front of the app, can sign:
TS=$(date +%s)
BODY='{"status":"success"}'
SIG=$(printf '%s.%s' "$TS" "$BODY" \
  | openssl dgst -sha256 -hmac "$SECRET" | sed 's/^.*= //')
curl -X POST https://<host>/api/internal/deploy-webhook \
  -H "X-Deploy-Webhook-Timestamp: $TS" \
  -H "X-Deploy-Webhook-Signature: sha256=$SIG" \
  -H "Content-Type: application/json" \
  -d "$BODY"

Both may be set; a signed request satisfies both. An operator who set the timestamp flag before 1.46 keeps exactly the behaviour they had.