sensing-track

Query historical sensing events by using Bash and jq to read per-day JSONL files from /root/local/flow_events_YYYY-MM-DD.jsonl to extract past activity records. This allows you to answer time-bounded questions about presence, motion, and emotion events.

Yes, you can search flow event logs across multi-day ranges by querying multiple per-day JSONL files. The query supports cross-day ranges to help you identify presence, motion, and emotion events spanning longer continuous time windows.

Correlate past motion events with snapshots by reading context from /var/lib/lelamp/snapshots while querying flow event logs. This enriches historical sensing event answers with related snapshot data for better situational context.

The best way to extract presence and emotion events from JSONL logs is using jq. It filters per-day JSONL files in /root/local to precisely identify historical sensing events within specified time bounds.

Querying sensing history requires no external dependencies. It relies solely on Bash and jq to read local JSONL flow event logs and snapshot files, ensuring a self-contained querying process without additional package installations.