Upgrades pypetkitapi to 1.28.0, which adds the Eversweet Ultra (W7H
fountain with AI camera). The poller now extracts per-pet drinking
events (drink_over/pet_detect records) into a new drinking_events
table, plus Ultra-specific alerts for waste tank full and filter
expiry. Uncertain state fields (cwt/wt/pump) are logged for threshold
tuning against real data.
Exposes the data via a new /api/pets/drinking-events endpoint, a
Fountain Activity dashboard section, and a simbakit_drinking_activity
LangChain tool so the agent can answer hydration questions.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Update from journal/YYYY/YYYY-MM-DD.md to
50 - Journal/YYYY/MM/YYYY-MM-DD.md to match the actual Obsidian vault
folder layout.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Consolidate onto PostgreSQL by using pgvector instead of a separate
ChromaDB instance. This removes a Docker volume, a large dependency,
and simplifies the stack without meaningful performance impact at
our document scale.
- Swap langchain-chroma for langchain-postgres (PGVector)
- Use pgvector/pgvector:pg16 Docker image with init script
- Lazy-initialize vector store to avoid eager DB connections
- Add SQL helpers for stats/delete/list (replacing _collection access)
- Remove legacy main.py, chunker, petmd scraper, and /api/query endpoint
Re-index required after deploy (POST /api/rag/index + /index-obsidian).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Ryan Chen