Files
directus/.planning/phase-1-slice-1-schema
julian 52524eb72d Task 1.5 — Event-participation collections
Five collections + 10 relations + 5 composite unique constraints,
captured into snapshots/schema.yaml (now 105 KB, up from 53 KB).

Collections:
- events       — 11 fields incl. organization_id M2O, discipline enum
                  (rally / time-trial / regatta / trail-run / hike),
                  starts_at/ends_at required.
- classes      — 8 fields incl. event_id M2O, code unique within event.
- entries      — 11 fields incl. event_id/vehicle_id (nullable for foot
                  races) /class_id M2O, race_number, status enum with
                  8 lifecycle values, archive on `withdrawn`.
                  team_id deliberately omitted (Phase 2+).
- entry_crew   — junction with role enum
                  (pilot/co-pilot/navigator/mechanic/rider/runner/hiker).
- entry_devices — junction with optional assigned_user_id (panic button
                  body-wear); ON DELETE SET NULL on that field since
                  user removal shouldn't block the device record.

10 M2O relations wired, all ON DELETE RESTRICT except
entry_devices.assigned_user_id (SET NULL).

db-init/005_event_participation_unique_constraints.sql adds composite
UNIQUE on:
  events (organization_id, slug)
  classes (event_id, code)
  entries (event_id, race_number)
  entry_crew (entry_id, user_id)
  entry_devices (entry_id, device_id)

---

Destructive-apply incident (recovered):

First attempt at this task hit a real foot-gun. After creating the 5
collections via MCP, we ran `compose build && up -d`. The image rebuild
baked in the snapshot from task 1.4 (only 7 collections). Boot's
schema-apply step ran `directus schema apply --yes` against that stale
snapshot — saw the 5 new collections in the DB but not in the snapshot
— DELETED THEM, taking the constraints with them.

Recovery: re-created the 5 collections + 10 relations via MCP, ran the
ALTER TABLE statements directly via psql to restore the constraints,
ran schema:snapshot BEFORE any further restart so the YAML reflects
the live state. Documented the operator rule (never rebuild with
uncommitted schema changes) inline in the task spec and in the
directus wiki entity page (separate commit in trm/docs).

Phase 3 hardening on the radar: DIRECTUS_SCHEMA_APPLY_MODE env var
with auto/dry-run/skip modes so dev environments default to non-
destructive behavior.

ROADMAP marks 1.5 done. Phase 1 progress: 7/9 tasks complete (1.1–1.7);
1.8, 1.9 remain.
2026-05-02 09:55:17 +02:00
..

Phase 1 — Slice 1 schema + deploy pipeline

Stand up a Directus 11 instance with the minimum schema needed to register entries and tie them to devices, plus the schema-as-code pipeline (snapshots + db-init) and Gitea Actions CI. This is what Rally Albania 2026 needs to run as a test event.

Outcome statement

When Phase 1 is done:

  • Directus runs locally via docker compose -f compose.dev.yaml up, against a Postgres 16 + TimescaleDB + PostGIS container.
  • db-init/ contains three migrations applied at boot: TimescaleDB extension, positions hypertable creation, faulty boolean column on positions. All idempotent, all guarded by a migrations_applied table.
  • snapshots/schema.yaml contains 12 collections: organizations, users, organization_users, vehicles, organization_vehicles, devices, organization_devices, events, classes, entries, entry_crew, entry_devices. Relations and required fields per directus-schema-draft (the org-level catalog and event-participation sections).
  • The image entrypoint runs db-init, then directus schema apply --yes, then directus start. All three exit 0 against a fresh Postgres.
  • Gitea Actions builds the image on push to main (when snapshots/, db-init/, extensions/, Dockerfile, or workflow file changes), runs the apply pipeline against a throwaway Postgres in CI, and pushes the image to git.dev.microservices.al/trm/directus:main only if the dry-run passes.
  • "Motorsport Club Albania" exists as an organization, "Rally Albania 2026" exists as an event under it, and the Rally Albania class catalog is seeded (M-1..M-7, Q-1..Q-3, C-1/C-2/C-A/C-3, S-1/S-2/S-3 from wiki/sources/rally-albania-regulations-2025.md §2.2–§2.5). At least one test entry registered with vehicle + crew + devices, used to dogfood the registration workflow.

Phase 1 deliberately stops short of:

  • Course definition (stages, segments, geofences, SLZs) — Phase 2.
  • Penalty system tables and timing tables — Phase 3.
  • Permission policies — Phase 4 (collections are admin-only by default).
  • Custom extension code — Phase 5.

Sequencing

1.1 Project scaffold
   └─→ 1.2 db-init runner script
          └─→ 1.3 Initial migrations
                 ├─→ 1.4 Org-level catalog collections (admin UI work)
                 │      └─→ 1.5 Event-participation collections (admin UI work)
                 │             └─→ 1.6 Schema snapshot/apply tooling
                 │                    └─→ 1.7 Image build & entrypoint
                 │                           └─→ 1.8 Gitea CI dry-run
                 │                                  └─→ 1.9 Rally Albania 2026 seed

Tasks 1.1 → 1.3 are pure infrastructure and can land before any Directus admin UI work begins. Tasks 1.4 + 1.5 happen against a locally running Directus instance. Tasks 1.6 → 1.8 wire the artifacts together. Task 1.9 is dogfood verification.

Files modified

Phase 1 produces this layout in directus/:

directus/
├── .gitea/workflows/build.yml
├── snapshots/
│   └── schema.yaml             # generated; edits via admin UI + pnpm run schema:snapshot
├── db-init/
│   ├── 001_extensions.sql      # CREATE EXTENSION timescaledb (postgis added in Phase 2)
│   ├── 002_positions_hypertable.sql
│   └── 003_faulty_column.sql
├── extensions/                 # empty — Phase 5 fills this
├── scripts/
│   ├── apply-db-init.sh        # numeric-order, guard-table-protected runner
│   ├── schema-snapshot.sh      # wraps `directus schema snapshot --yes`
│   └── schema-apply.sh         # wraps `directus schema apply --yes`
├── entrypoint.sh               # apply-db-init.sh && directus schema apply && directus start
├── Dockerfile                  # FROM directus/directus:11.x + bundled artifacts
├── compose.dev.yaml            # local dev: directus + timescaledb container
├── package.json                # only for the snapshot/apply npm scripts and tooling
├── pnpm-lock.yaml
├── .env.example
├── .dockerignore
├── .gitignore
└── README.md

Tech stack (decided)

  • Directus 11.x (latest stable on the 11.x line at time of build). Pinned in Dockerfile FROM line.
  • Postgres 16 + TimescaleDB + PostGIS as the database (PostGIS extension added in Phase 2; Phase 1 only uses TimescaleDB).
  • pnpm for any local dev scripts (snapshot wrappers, lint).
  • bash (POSIX-compatible) for apply-db-init.sh and entrypoint.sh. No Node dependency at runtime — only Directus needs Node, and that's the upstream image's responsibility.
  • psql (from postgresql-client package) inside the image for db-init application.
  • Gitea Actions for CI, matching the processor and tcp-ingestion workflow shape.

If an implementer wants to deviate, they must update the relevant task file first.

Key design decisions inherited from processor

  • Image is bundled, not assembled at runtime. snapshots/, db-init/, and extensions/ are baked into the image, not mounted as volumes. Reproducible across envs.
  • Slim Dockerfile. Multi-stage if extensions need a build step (Phase 5+); for Phase 1 a single stage is enough.
  • CI workflow — single-job pattern matching processor/.gitea/workflows/build.yml. Use services: for the throwaway Postgres in the dry-run step.
  • No .env in image. All env vars come from the deploy stack (Portainer / compose) at runtime.

Open questions blocking task-level detail

None. The schema draft pinned the org-level catalog and event-participation shape; Phase 1 implements exactly that subset.