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4 commits

Author SHA1 Message Date
Matt
2ed9335f4e feat(geocode): add viewport bias for location-aware search 
- Add lat/lon/zoom params to geocode() and _retrieve_photon_freetext()
- Update nav_tools.py wrapper to pass through viewport params
- Add /api/geocode handler support for lat/lon/zoom query params
- Add _safe_float() helper for param validation
- Cast zoom to int for Photon compatibility

Allows the frontend to pass current map center/zoom to bias
search results toward the visible area.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-04-26 04:03:44 +00:00
Matt
620f99c762 Add business_intent_poi_boost reranker signal 
When a query contains no road-type keywords (st, blvd, ave, etc.),
boost amenity/shop/tourism/leisure/office/craft results (+3.0) and
penalize highway/route results (-4.0). This fixes searches like
"starbucks twin falls" where a named service road outranked the
actual business POI due to Photon position tiebreaking.

Also fixes:
- Intent classifier now recognizes full state names ("idaho" not
  just "ID") for LOCALITY classification
- Locality-type Photon results now populate _city from name field
  so they participate in locality_fuzz scoring
- Trace logging expanded to all candidates with osm_key/value

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
 2026-04-21 19:39:37 +00:00
Matt
d460f0e202 Fix type classifier: POI check takes precedence over street_address 
Businesses with housenumbers (e.g. M&W Markets at 130 US-30) were
classified as street_address because the housenumber check fired before
the osm_key check. Reorder so osm_key in amenity/shop/tourism/leisure/office
is evaluated first, ensuring businesses get type=poi regardless of
whether they have a street address. Also adds office to the POI key set.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
 2026-04-21 19:08:04 +00:00
Matt
87b230dcba feat(navi): structured geocode with usaddress parsing and reranker 
Add lib/geocode.py — multi-source retrieval pipeline:
- usaddress CRF parsing with intent classification
- Netsyms structured lookup (uses raw street abbreviations)
- Photon /structured + /api freetext retrieval
- Weighted 10-signal reranker (housenumber, street fuzz, locality,
  source authority, etc.)
- match_code annotations + address book proximity labeling
- Trace log at /tmp/geocode_rerank_trace.log

nav_tools.py now delegates geocode() to the new module.
Tests updated: US address queries correctly return Netsyms results.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
 2026-04-20 16:29:47 +00:00