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.
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,positionshypertable creation,faulty booleancolumn on positions. All idempotent, all guarded by amigrations_appliedtable.snapshots/schema.yamlcontains 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, thendirectus start. All three exit 0 against a fresh Postgres. - Gitea Actions builds the image on push to
main(whensnapshots/,db-init/,extensions/,Dockerfile, or workflow file changes), runs the apply pipeline against a throwaway Postgres in CI, and pushes the image togit.dev.microservices.al/trm/directus:mainonly 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
DockerfileFROMline. - 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.shandentrypoint.sh. No Node dependency at runtime — only Directus needs Node, and that's the upstream image's responsibility. - psql (from
postgresql-clientpackage) inside the image for db-init application. - Gitea Actions for CI, matching the
processorandtcp-ingestionworkflow 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/, andextensions/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. Useservices:for the throwaway Postgres in the dry-run step. - No
.envin 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.