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Optional dependency for callers who want geocoding.","maintainers":[{"name":"teffenellis","email":"teffen@nirri.us"}],"readme":"# @mailwoman/resolver-wof-sqlite\n\nFTS5-backed [Who's On First](https://whosonfirst.org/) SQLite resolver for [mailwoman](https://www.npmjs.com/package/mailwoman). Takes free-text place queries (`\"Paris, FR\"`, `\"Springfield, IL\"`) and returns ranked candidate place IDs + coordinates from a WOF SQLite distribution on disk.\n\nPhase 4.2 of the mailwoman neural-resolver plan — see [`docs/plan/phases/PHASE_4_2_wof_sqlite.md`](https://github.com/sister-software/mailwoman/blob/main/docs/plan/phases/PHASE_4_2_wof_sqlite.md) in the source repo.\n\n## Installation\n\n```bash\nnpm install @mailwoman/resolver-wof-sqlite\n```\n\nRequires Node 22+ for built-in `node:sqlite`.\n\n## Quick start\n\n```ts\nimport { WOFSQLitePlaceLookup } from \"@mailwoman/resolver-wof-sqlite\"\n\nusing lookup = new WOFSQLitePlaceLookup({\n\tdatabasePath: \"/path/to/whosonfirst-data-admin-us-latest.db\",\n\tbuildFTS: true, // build the FTS5 index on first open (one-time cost)\n})\n\nconst candidates = await lookup.findPlace({\n\ttext: \"Springfield\",\n\tplacetype: \"locality\",\n\tcountry: \"US\",\n})\n\nfor (const c of candidates) {\n\tconsole.log(c.id, c.name, c.country, c.lat, c.lon, \"score:\", c.score)\n}\n```\n\n## A database that cannot answer says so on construction\n\nDatabases are `ATTACH`ed by a schema name **derived from the filename**, and queries route to them by matching that name against the requested placetype — `postalcode_us` serves `postalcode`. Two ways that used to fail without logging, and both now throw when you build the lookup:\n\n- The name does not route. `postcode-ca-overture.db` derives `postcode_ca_overture`, and the router tests `startsWith(\"postalcode_\")` — **\"postcode\" is not \"postalcode\"**. It held 843,739 Canadian codes and answered every query with zero hits, which is indistinguishable from \"this country has no places\".\n- The database carries `spr` but no `place_search`. It routes, then dies mid-`SELECT`.\n\nThe predicate is the **table rather than the filename**: a database carrying `spr` is claiming to be a place database, and every lookup path here reaches the FTS index. A relation-table database like `postcode-locality-<cc>.db` carries no `spr`, never makes that claim, and is exempt — which is what keeps the documented default database list working.\n\n```\nWOFSQLitePlaceLookup: …/postcode-ca-overture.db carries \"spr\" but no \"place_search\" table, so it\ncannot serve a lookup. Build it with the FTS index, or leave it out — it is usable as a BUILD input\neither way. Its schema name \"postcode_ca_overture\" also matches no routed placetype (postalcode,\nlocality, region, county, country, venue), so it would never have been queried even with the table\n— check the filename's spelling.\n```\n\nThe second sentence appears only when the name routes nowhere. It is the half that turns zero hits into a diagnosis.\n\n## Multiple databases (admin + postcode in one connection)\n\nPass an array of paths to open multiple WOF databases on a single connection — each is opened as a\nseparate SQLite schema via `ATTACH DATABASE`. Schema names auto-derive from filenames\n(`whosonfirst-data-admin-us-latest.db` → `admin_us`, `whosonfirst-data-postalcode-us-latest.db` →\n`postalcode_us`). Queries route by `placetype` — a `postalcode` query goes to the\n`postalcode_us` database automatically, everything else hits main.\n\n```ts\nconst lookup = new WOFSQLitePlaceLookup({\n\tdatabasePath: [\"/data/wof/whosonfirst-data-admin-us-latest.db\", \"/data/wof/whosonfirst-data-postalcode-us-latest.db\"],\n})\n\nawait lookup.findPlace({ text: \"Springfield\", placetype: \"locality\" }) // → admin extract\nawait lookup.findPlace({ text: \"62701\", placetype: \"postalcode\" }) // → postcode extract\n```\n\nOverride schema names or routing explicitly when needed:\n\n```ts\nnew WOFSQLitePlaceLookup({\n\tdatabasePath: [\"/data/wof/admin.db\", { path: \"/data/oddly-named.db\", schemaName: \"pc\", placetypes: [\"postalcode\"] }],\n})\n```\n\nCross-database `UNION` queries are not supported in one `findPlace` call — BM25 scores aren't\ncomparable across separately-indexed corpora. Issue two `findPlace` calls and merge in your\ncaller if you need that.\n\n## Get the WOF SQLite distribution\n\nThe Geocode Earth team mirrors WOF SQLite distributions at <https://data.geocode.earth/wof/dist/sqlite/>. The two relevant distributions for v1:\n\n| Distribution                                   | Size (bz2) | Use                                                               |\n| ---------------------------------------------- | ---------- | ----------------------------------------------------------------- |\n| `whosonfirst-data-admin-us-latest.db.bz2`      | ~845 MB    | US administrative places (country / region / locality / borough). |\n| `whosonfirst-data-postalcode-us-latest.db.bz2` | ~320 MB    | US postcodes.                                                     |\n\n```bash\ncurl -L -o whosonfirst-data-admin-us-latest.db.bz2 \\\n  https://data.geocode.earth/wof/dist/sqlite/whosonfirst-data-admin-us-latest.db.bz2\nbunzip2 whosonfirst-data-admin-us-latest.db.bz2\n```\n\n## FTS5 index\n\nUpstream WOF SQLite distributions ship a `places` table but **not** an FTS5 index. The resolver needs FTS5 to do fast prefix + token-bag matching. Two options:\n\n1. **`buildFTS: true` on construction** — builds the index lazily on first open. Cost is one-time but expensive (~minutes on the full US admin database). Use for prototyping.\n2. **Pre-build the index with `mailwoman gazetteer build fts`** — ship the DB with the index included so first-open is fast. Recommended for production.\n\n### `mailwoman gazetteer build fts`\n\nA one-shot operator script ships with this package as a `bin`:\n\n```bash\nmailwoman gazetteer build fts /path/to/whosonfirst-data-admin-us-latest.db\n```\n\nThe CLI:\n\n- Opens the DB read-write.\n- Creates the `place_search` FTS5 virtual table (with the same schema the lazy build uses).\n- Populates it from `spr` + `names` (alternate-name concatenation included).\n- Builds the `place_bbox` R*Tree virtual table from `spr.min\\_*`/`spr.max\\_\\*` columns for the\n  proximity + bbox query support.\n- Reports progress to stderr per phase (`checking` → `creating` → `populating` → `creating-bbox`\n  → `populating-bbox` → `done`).\n- Exits 0 with a no-op message if both indexes already exist.\n\n```bash\n# Refresh after pulling a newer WOF dump\nmailwoman gazetteer build fts /path/to/wof.db --drop\n```\n\n`--drop` rebuilds from scratch — useful after refreshing the `places` / `names` tables from a newer dump. Without `--drop` the CLI is a no-op when the index is already present.\n\n### Slim builds (retired CLI — module only)\n\nBuilds a trimmed WOF SQLite distribution sized for browser-side deployments (Path B of the demo plan). The full admin-US distribution is ~4 GB; a slim US bundle with the top-1k localities by population plus all postcodes lands at **~35 MB** — small enough to ship as a static asset.\n\n```bash\n# Defaults: --top 1000 localities, --countries US, drops geojson after building aux tables\n# The slim wof-hot.db distribution is RETIRED (2026-06-20): the demo byte-range-resolves\n# against the global candidate table. `buildSlimWOFDatabase` remains importable from\n# `@mailwoman/resolver-wof-sqlite/build/slim` for test fixtures. Historical invocation:\n# mailwoman-wof-build-slim \\\n  --in /path/to/whosonfirst-data-admin-us-latest.db \\\n  --in /path/to/whosonfirst-data-postalcode-us-latest.db \\\n  --out /path/to/wof-hot.db\n\n# Tinier — top 100 localities only\n# mailwoman-wof-build-slim --in admin-us.db --out wof-tiny.db --top 100\n\n# Multi-country\n# mailwoman-wof-build-slim --in admin-na.db --out wof-na.db --countries US,CA,MX\n```\n\nWhat survives in the slim DB:\n\n- All ancestor placetypes (`country`, `region`, `county`, `borough`, `macroregion`) in scope\n- Top-K localities by `wof:population`\n- All postcodes in scope\n- All `names` rows for the selected place IDs\n- Fresh `place_search` (FTS5), `place_bbox` (R\\*Tree), `place_population` aux tables\n\nWhat gets dropped: the `geojson` table, which is build-time only — `lookup.ts` never reads it at query time, and it accounts for ~95% of the on-disk size. The `place_population` aux table consumes `wof:population` from geojson before we drop it.\n\n`WOFSQLitePlaceLookup` opens the slim DB without any code change. Out-of-set queries (a locality not in the top-K) correctly return zero hits.\n\nYou can also build the index programmatically via the package's `./fts` subpath:\n\n```ts\nimport { DatabaseSync } from \"node:sqlite\"\nimport { buildPlaceSearchFts } from \"@mailwoman/resolver-wof-sqlite/fts\"\n\nusing db = new DatabaseSync(\"/path/to/wof.db\")\nconst { created, indexedRows, durationMs } = buildPlaceSearchFts(db, {\n\tdrop: false,\n\tonProgress: (phase, detail) => console.log(phase, detail),\n})\n```\n\n## Rank places\n\nThe resolver scores candidates by:\n\n1. SQLite FTS5 BM25 (negated so higher = better).\n2. - `placetypeMatchBoost` when the candidate's placetype matches the query filter.\n3. - `localityImplicitBoost` when no placetype filter is set and the candidate is a locality.\n4. - `countryMatchBoost` when the country filter matches.\n5. - `directChildBoost` / `descendantBoost` when `parentId` is set.\n6. - `proximityBoost / (1 + distanceKm / proximityScaleKm)` when `near: {lat, lon}` is set — decays\n     smoothly with distance from the user's position. At distance 0 the boost is full magnitude; at\n     `proximityScaleKm` (default 100 km) it's half.\n7. − `lengthPenaltyWeight` × excess-length penalty (favors short matches over long matches on short\n   queries).\n\n## Geographic filters (Phase 4.3.x)\n\nTwo query options use the package-built R\\*Tree index over WOF's bounding boxes:\n\n```ts\n// Proximity boost (no hard filter — distant candidates aren't dropped, just ranked lower)\nlookup.findPlace({\n\ttext: \"Springfield\",\n\tplacetype: \"locality\",\n\tnear: { lat: 39.78, lon: -89.65 },\n})\n\n// Proximity boost + hard filter — drop anything beyond 200 km\nlookup.findPlace({\n\ttext: \"Springfield\",\n\tplacetype: \"locality\",\n\tnear: { lat: 39.78, lon: -89.65, maxDistanceKm: 200 },\n})\n\n// Bbox hard filter — only return candidates whose bbox intersects the box\nlookup.findPlace({\n\ttext: \"Springfield\",\n\tplacetype: \"locality\",\n\tbbox: { minLat: 37, maxLat: 42.5, minLon: -91.5, maxLon: -87.5 },\n})\n```\n\nWhen the R*Tree index isn't present (DBs built before this feature), the bbox-hard-filter is\nsilently dropped to preserve backwards compatibility. The proximity boost still works without the\nR*Tree because it computes haversine distance against the centroid columns directly. Rebuild with\n`mailwoman gazetteer build fts <path> --drop` to gain the bbox index.\n\nAll weights are configurable via the second ctor argument:\n\n```ts\nnew WOFSQLitePlaceLookup({ databasePath }, { countryMatchBoost: 0.5 })\n```\n\nDefaults are in `lookup.ts::DEFAULT_WEIGHTS`.\n\n## Query syntax\n\n`FindPlaceQuery.text` accepts free-text input — apostrophes / parens / accented characters / etc.\nare all stripped safely before going to FTS5. Per-token rules:\n\n- **Bare tokens** (`\"Paris\"`, `\"62701\"`) become FTS5 **phrase matches**: `\"Paris\"` matches places\n  named exactly \"Paris\", `\"62701\"` matches the postcode 62701 exactly.\n- **A trailing `*`** (`\"627*\"`, `\"Pari*\"`) becomes FTS5 **prefix syntax**: `627*` matches every\n  postcode starting with 627, `Pari*` matches Paris / Parishville / etc. The caller explicitly\n  signals \"prefix\"; bare tokens stay phrase-matched for safety.\n- **Multiple tokens** join with an implicit `AND`: `\"Pari* TX\"` matches places whose name contains\n  both a `Pari*`-prefixed word and the word `TX`.\n\nExample: `findPlace({ text: \"902*\", placetype: \"postalcode\" })` returns 90201, 90210, 90211, …\nmatching the Los Angeles ZIP corridor.\n\n## Attribution (CC-BY 4.0)\n\nWho's On First data is licensed [CC-BY 4.0](https://creativecommons.org/licenses/by/4.0/). Downstream applications shipping resolved results from this package **must** carry an attribution notice — for example:\n\n> Place data via [Who's On First](https://whosonfirst.org/) © Mapzen + contributors, CC-BY 4.0.\n\nThis package itself is AGPL-3.0; the WOF data it indexes is CC-BY 4.0. The two licenses are separate — your application must comply with both.\n\n## Integration tests\n\n`resolver-wof-sqlite/integration.test.ts` exercises the resolver against a real WOF SQLite distribution. The suite is **skipped** when no DB is present — set `MAILWOMAN_WOF_DB` to override the lookup path, otherwise it defaults to `$MAILWOMAN_DATA_ROOT/db/wof/whosonfirst-data-admin-us-latest.db` (the canonical lab location). CI runs against the fixture-only suites; operators with real WOF data locally get an extra layer of validation.\n\nCoverage includes: placetype filtering, country filtering, the empty-result case, FTS5 special-character sanitization, Japanese alt-name resolution, parent-constrained lookup, and a performance budget (`findPlace` < 250 ms against the 142 k-row US admin database).\n\n## Concurrency model\n\nThis package opens a single `node:sqlite` connection per `WOFSQLitePlaceLookup` instance. SQLite is single-writer / multiple-reader; the Kysely wrapper around the connection serializes all queries through a mutex. For high-concurrency HTTP servers, instantiate one resolver per request handler or per pool slot — sharing a single instance across concurrent requests is safe (queries queue) but won't parallelize across cores.\n\n## License\n\nAGPL-3.0. WOF data: CC-BY 4.0 (see Attribution above).\n","readmeFilename":"README.md"}