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Central - data hub spine. Adapters -> NATS/JetStream -> archive.
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Matt Johnson 0f59fe63ef tests: ruff cleanup in test_gui_adapter_edit.py (3 violations -> 0) 
- F401: drop unused TOMTOM_FREE_TIER_CALLS_PER_MONTH import
- E702 x2: split semicolon-joined statements (lines 142, 202)

Mechanical only; zero behavior change. Suite holds at 900/1.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-27 06:58:05 +00:00
docs feat(state_511_atis_cameras): Castle Rock 511 traffic cameras telemetry (v0.9.6) 2026-05-26 01:33:21 +00:00
etc-templates scaffold: initial repository structure 2026-05-15 19:16:24 +00:00
scripts scaffold: initial repository structure 2026-05-15 19:16:24 +00:00
sql v0.9.12: archive-level monitoring-area bbox filter 2026-05-26 23:40:17 +00:00
src/central v0.9.18: reconcile schema_migrations drift + add --check drift detection 2026-05-27 06:40:38 +00:00
systemd feat(gui): add auth core, setup gate, and first-run operator creation 2026-05-17 05:30:49 +00:00
tests tests: ruff cleanup in test_gui_adapter_edit.py (3 violations -> 0) 2026-05-27 06:58:05 +00:00
.gitattributes chore: normalize line endings to LF 2026-05-16 22:26:12 +00:00
.gitignore feat(gui): add auth core, setup gate, and first-run operator creation 2026-05-17 05:30:49 +00:00
.python-version foundation: models, adapter ABC, config, CE wire, schema 2026-05-15 21:08:56 +00:00
CHANGELOG.md docs: add v0.3.0 changelog entry and network bindings reference (#29) 2026-05-18 14:26:09 -06:00
LICENSE scaffold: initial repository structure 2026-05-15 19:16:24 +00:00
pyproject.toml feat(tomtom_flow): TomTom Orbis vector flow-tile telemetry adapter + CENTRAL_TRAFFIC_FLOW (v0.9.3) 2026-05-25 23:25:44 +00:00
README.md docs: add test database setup, restore geom to test fixture 2026-05-17 18:26:48 +00:00
uv.lock feat(tomtom_flow): TomTom Orbis vector flow-tile telemetry adapter + CENTRAL_TRAFFIC_FLOW (v0.9.3) 2026-05-25 23:25:44 +00:00

README.md

Central

Central is the data hub spine for the infrastructure. Adapters normalize upstream sources into a canonical event shape, publish CloudEvents to NATS/JetStream, and archive to TimescaleDB for historical query. Single-LXC deployment.

Status

Phase 0 — scaffold. Not yet operational.

Architecture

  • Python 3.12 (uv-managed)
  • NATS + JetStream for live event bus
  • TimescaleDB + PostGIS for archive and geospatial query
  • One supervisor process managing adapter lifecycle
  • One archive consumer process persisting events to TimescaleDB
  • Both processes systemd-managed

Testing

See docs/test-database.md for test database setup.

License

MIT. See LICENSE.