Files
directus/.planning/phase-1-slice-1-schema
julian 6f376a479f Task 1.4 — Org-level catalog collections
Seven collections + 3 directus_users custom fields, captured as
snapshots/schema.yaml (53 KB, 2,159 lines).

Collections:
- organizations          — UUID PK, name, slug UNIQUE
- vehicles               — UUID PK, make/model required, year/cc/vin/plate optional
- devices                — UUID PK, imei UNIQUE, model required
- organization_users     — junction with role enum (org-admin, race-director,
                            marshal, timekeeper, participant, viewer)
- organization_vehicles  — junction with registered_at
- organization_devices   — junction with registered_at
- directus_users         — extended with phone, birth_date, nationality

Six M2O relations on the junctions, all ON DELETE RESTRICT (matching
the schema-draft decision: deletion of an org/vehicle/device/user
requires explicit cleanup of dependents).

db-init/004_junction_unique_constraints.sql adds the composite UNIQUE
constraints on the three junctions:
  organization_users  (organization_id, user_id)
  organization_vehicles (organization_id, vehicle_id)
  organization_devices (organization_id, device_id)

Composite uniqueness lives in db-init rather than the Directus snapshot
because Directus's snapshot YAML format only captures single-column
unique constraints (the field-level is_unique flag). The migration file
documents the split inline.

Driven via the directus-local MCP server rather than admin-UI clicking
— programmatic create-collection/create-field/create-relation calls
against the running Directus instance, then `pnpm run schema:snapshot`
to capture the canonical YAML.

Live-verified: db-init/004 applies cleanly on container restart
(0 rows in the empty junctions, no constraint violations); schema-apply
against a snapshot-empty boot still skips correctly; all seven new
collections show up in the admin UI's data model navigation.

Snapshot includes positions and migrations_applied as auto-discovered
ghost entries (Directus introspects all public-schema tables). Harmless
— db-init creates them before schema-apply runs, so snapshot apply just
finds them already present.

ROADMAP marks 1.4 done. Phase 1 progress: 6/9 tasks complete (1.1, 1.2,
1.3, 1.4, 1.6, 1.7); 1.5, 1.8, 1.9 remain.
2026-05-02 09:41:01 +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.