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Central - data hub spine. Adapters -> NATS/JetStream -> archive.
- Python 89.1%
- HTML 9.3%
- CSS 1.3%
- PLpgSQL 0.3%
PR #4 of the v0.7.x GUI rework arc. Production code; central-gui restart only. - Adapter legend: collapsed by default ("{n} adapters · Show legend ▾"). Expands to domain-grouped chips (same grouping as the v0.7.1 chip-picker) with uniform ellipsis-truncated names + full-name title tooltips. Clicking a legend chip toggles that adapter's filter (reuses the chip-picker's hidden CSV via syncField), so the legend doubles as a filter affordance. - Row stability: time cell is single-line MM-DD HH:MM UTC (year dropped from the cell; full ISO in the cell tooltip + a new Time row in the expanded detail). Adapter cell is a chip (color swatch + short name; display_name is the tooltip). table-layout:fixed + per-column widths + fixed 37px row height with nowrap/ellipsis cells -> no per-row wrap variation. - Real paginator: _fetch_events offset-mode returns the exact page slice plus the grand total via count(*) OVER() in one roundtrip. Previous/Next + windowed page numbers (1 ... 4 5 [6] 7 8 ... 47) + "showing X-Y of N" + a 25/50/100/250 per-page selector. URL state persists offset + limit. events.json keeps cursor pagination (back-compat): offset param presence selects offset-mode, its absence keeps the cursor path -- cleanly separable by endpoint. Adds TestEventsPagination (12 tests: offset/limit parse incl. max 250, offset-vs-cursor query shape, _build_pagination windowing). Updates the time format + adapter-cell + pagination-mode assertions in the existing frontend tests to the new contract. Full suite: 674 passed, 1 skipped (central and unprivileged zvx). count(*) OVER() is ~7.5ms at current volume; vanilla JS + HTMX; CSS functional-only. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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| CHANGELOG.md | ||
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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.