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OR LicenseRef-Commercial","homepage":"https://github.com/sister-software/mailwoman#readme","repository":{"type":"git","url":"git+https://github.com/sister-software/mailwoman.git","directory":"packages/address-id"},"description":"Turn a canonicalized + geocoded address into a stable, parseable primary key (`<state>.<H3-cell>.<hash>`) for deterministic record joins / dedup — the exact-match complement to the fuzzy matcher.","maintainers":[{"name":"teffenellis","email":"teffen@nirri.us"}],"readme":"# @mailwoman/address-id\n\n**Stable, parseable address primary keys** — the deterministic, exact-match\ncomplement to the fuzzy matcher.\n\nWhere `@mailwoman/match` decides whether two messy records are _probably_ the\nsame entity, `@mailwoman/address-id` produces a content-addressed key you can\n`GROUP BY` or `JOIN ON` without running the matcher at all — for the common\n\"same canonical address\" case.\n\n```ts\nimport { createPostalAddressID } from \"@mailwoman/address-id\"\n\nconst id = createPostalAddressID({\n\tcomponents: { street: \"123 Main St\", locality: \"Austin\", region: \"TX\", postcode: \"78701\" },\n\tcoordinate: { lat: 30.2672, lon: -97.7431 },\n})\n// → \"tx.882830829dfffff.abc123def456\"\n```\n\n## Key structure\n\n```\n<state>.<H3-cell>.<content-hash>\n```\n\n| Segment          | Purpose                                                                                                                                                                                         |\n| ---------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| **State prefix** | Coarse region (`tx`, `ca`, `ny`, …) from a supplied state or plucked from the ZIP via `@mailwoman/codex`; `xx` when unknown. Makes the key region-sortable.                                     |\n| **H3 cell**      | Jitter-stable locality token from the resolved coordinate (`h3-js` `latLngToCell` at resolution 9). Coarse on purpose: two geocodes of the same place a few meters apart land in the same cell. |\n| **Content hash** | Hash of the address canonicalized by `@mailwoman/normalize`, so `123 Main St` and `123 MAIN STREET` hash identically. This is the identity; the cell + state localize and partition it.         |\n\n## API\n\n```ts\n// Create a stable address primary key\ncreatePostalAddressID(input: PostalAddressIDInput): string\n\n// Parse a key back into its components\nparsePostalAddressID(id: string): ParsedPostalAddressID\n// → { state: \"tx\", h3Cell: \"882830829dfffff\", hash: \"abc123def456\" }\n```\n\n## Design\n\n- **Self-contained** on `h3-js`, not `@mailwoman/spatial` (which wasn't\n  published when `address-id` shipped). Small, focused dependency footprint.\n- **Content-addressed, not assigned.** The key derives from the data itself\n  — no central registry, no sequence numbers.\n- **Jitter-stable.** The H3 cell at resolution 9 (~0.03 km²) absorbs the\n  small coordinate differences that come from geocoding the same address\n  on different passes.\n\n## Use cases\n\n- **Deduplication** — `GROUP BY address_id` collapses records at the same\n  canonical address without running the fuzzy matcher.\n- **Cross-dataset joins** — deterministic exact-match join key for linking\n  records across data sources.\n- **Indexing** — ordered by state prefix for efficient range scans.\n\n## Related\n\n- [`@mailwoman/match`](../match) — the fuzzy matcher (complementary, not competing)\n- [`@mailwoman/normalize`](../normalize) — canonicalization used by the content hash\n- [`@mailwoman/codex`](../codex) — ZIP → state prefix resolution\n- [`@mailwoman/formatter`](../formatter) — `canonicalKey` (also deterministic, used for blocking)\n\n## License\n\n[AGPL-3.0-only](https://www.gnu.org/licenses/agpl-3.0.html)\n","readmeFilename":"README.md"}