Matt c8e2568f64 perf(offroute): query_radius uses k-NN <-> ordering for index-supported nearest-neighbor ... The old ST_DWithin(50km) scan returned ~226k candidate points near dense areas before sorting (~3-10s/call). Replace with PostGIS k-NN ordering: ORDER BY geom::geography <-> point LIMIT k, which the existing GiST index on (geom::geography) walks nearest-first and stops after K rows. SELECT still computes ST_Distance AS distance_m so callers see real meters. radius_km is kept as a Python soft cap applied after fetch (drops rows beyond it), preserving the caller expanded-radius fallback (now effectively a no-op). 2 tests: SQL contains <-> + LIMIT and no ST_DWithin; radius_km soft cap filters beyond-cap rows. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>		2026-05-25 07:28:46 +00:00
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tests	perf(offroute): query_radius uses k-NN <-> ordering for index-supported nearest-neighbor	2026-05-25 07:28:46 +00:00
__init__.py	Add navi-offroute service (extraction #8 — final) (#10)	2026-05-22 23:30:43 -06:00
admin.py	Add navi-offroute service (extraction #8 — final) (#10)	2026-05-22 23:30:43 -06:00
app.py	Add navi-offroute service (extraction #8 — final) (#10)	2026-05-22 23:30:43 -06:00
barriers.py	Add navi-offroute service (extraction #8 — final) (#10)	2026-05-22 23:30:43 -06:00
cost.py	Add navi-offroute service (extraction #8 — final) (#10)	2026-05-22 23:30:43 -06:00
friction.py	Add navi-offroute service (extraction #8 — final) (#10)	2026-05-22 23:30:43 -06:00
mvum.py	Add navi-offroute service (extraction #8 — final) (#10)	2026-05-22 23:30:43 -06:00
offroute_route.py	feat(offroute): Auto eligible-mode-set with category hints + parallel spatial fallback	2026-05-25 02:15:48 +00:00
router.py	perf(offroute): query_radius uses k-NN <-> ordering for index-supported nearest-neighbor	2026-05-25 07:28:46 +00:00
trails.py	Add navi-offroute service (extraction #8 — final) (#10)	2026-05-22 23:30:43 -06:00