Files
directus/.planning/phase-1-slice-1-schema
julian 387c3c4cfa Task 1.1 — Project scaffold
Phase 1 task 1.1 lands. Directus 11.17.4 boots locally end-to-end
against a TimescaleDB+PostGIS container; admin UI serves at :8055,
admin bootstrap from env vars works, named volumes preserve data
across down/up cycles.

Scaffold:
- Dockerfile — FROM directus/directus:11.17.4. Pre-installs
  postgresql16-client (ahead of task 1.2's db-init runner needing psql).
  Bakes in /directus/snapshots, /directus/db-init, /directus/scripts,
  /directus/extensions, /directus/entrypoint.sh.
- compose.dev.yaml — db (timescale/timescaledb-ha:pg16.6-ts2.17.2-all)
  + directus (local build), healthchecks, named volumes
  directus-pg-data + directus-uploads.
- entrypoint.sh — placeholder using upstream's actual flow
  (node cli.js bootstrap && pm2-runtime start ecosystem.config.cjs);
  the real db-init -> schema apply -> start wrapper lands in task 1.7.
- package.json — scripts-only (dev, dev:down, dev:reset,
  schema:snapshot, schema:apply, db:init), no runtime deps.
- .env.example — sectioned, fully documented, KEY/SECRET marked
  required with generation hints.
- .gitignore, .dockerignore — match the processor service conventions.
- snapshots/, db-init/, scripts/, extensions/ — empty with .gitkeep,
  filled by later Phase 1 tasks (1.3, 1.6) and Phase 5.

Lessons locked in (against the empirical pnpm dev boot):
- timescale/timescaledb-ha:pg16-latest does NOT exist on Docker Hub.
  Pin a concrete version (we used pg16.6-ts2.17.2-all).
- This image's data directory is /home/postgres/pgdata/data, not
  /pgdata or /var/lib/postgresql/data. PGDATA env var and the volume
  mount must both target it.
- The -all variant bundles PostGIS binaries but the extension is not
  auto-created on the directus database; CREATE EXTENSION lands in
  Phase 2 alongside the geofences/SLZs/waypoints collections.
- The upstream image's CMD is bootstrap + pm2-runtime, not a simple
  cli.js start. Bypassing pm2 would lose crash recovery.

These corrections folded into 01-project-scaffold.md (deliverable line
+ Done section), 08-gitea-ci-dryrun.md (CI service tag), and the
inline comments in compose.dev.yaml so future implementers don't
re-discover them.

Status: ROADMAP marks 1.1 done, Phase 1 in progress, 1.2 next.
2026-05-01 21:29:13 +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.