arborist/aborist
russell@unturf.com 5fd458aa41
qa(concepts): corpus-derived concept_relations table replaces frozensets
Phase 2 of the concepts/ layer. The Apr 27 commit (c6182ae) shipped
hand-curated frozensets in aborist/qa/concepts.py with a TODO to
"derive from Wikipedia's category graph or 'See also' sections" —
that's this commit. Fox's 2026-05-01 critique landed it: a 7-entry
list of arbitrary frozensets won't scale to a 3.47M-doc corpus, &
adding domains shouldn't require a Python edit + commit + redeploy.

Architecture:

(1) Per-shard concept_relations SQLite table. Append-only, with
    UNIQUE (source_root, relation_kind, token, target, evidence_kind)
    so re-derivation is idempotent. Lives next to documents in each
    shard so mesh sync moves relations alongside the docs that
    derived them. A SECONDARY index — writes here NEVER affect
    document_root / chunk_root / cache_key, so backfilling is safe
    across the entire corpus.

(2) aborist/concepts/ package:
    - store.py:   add_concept_relation, concept_relations_for_token,
                   purge_by_evidence_kind, list_evidence_kinds
    - query.py:   cross-shard synonym_expand, rivalry_excluded;
                   union-find collapse on synonym edges so partial
                   pairs build full equivalence classes; mtime-keyed
                   per-process LRU so retrieval doesn't re-walk
                   shards on hot loops
    - seed.py:    one-shot migration of legacy frozensets (8 groups
                   incl. brain-tech) to evidence_kind='manual_legacy'
                   rows under source_root='__legacy__concepts__'
    - extract.py: pluggable extractor registry. Built-in:
                   link_reciprocity_synonym — for any reciprocal
                   edge pair (A→B AND B→A) in the existing edges
                   table, emit synonym edges between the docs'
                   title-tokens. Works for Wikipedia (See-also
                   bidirectional), HTML site internal-link clusters
                   (russell.ballestrini.net pattern), or any link
                   graph the corpus already encodes — no new
                   crawler needed; the html_page parser already
                   populates `edges` rows on ingest.

(3) aborist/qa/concepts.py rewritten as a backwards-compat shim —
    same public API (synonym_expand, rivalry_excluded,
    has_compare_phrasing) so query.py call sites unchanged.
    shards_dir threaded through _filter_by_title_relevance &
    _search_corpus' synonym_expand calls. Without shards_dir
    (legacy 2-arg call shape), helpers degenerate to no-op —
    matches the behavior the frozenset code had when no group hit.

(4) Cross-shard UNION view: concept_relations added to
    _SHARDABLE_TABLES in store.py so connect_query() exposes a
    unified view across all shards (same pattern as documents,
    chunks, providence_cache, etc.).

Live-verified on the 4-shard 3.47M-doc corpus + the
crawl_russell_ballestrini_net.db shard:

  Q: what technology are currently or soon available which may
     enable one person to reconstruct and understand some or a
     portion of another persons thoughts or ideas without speaking
     or sign language?

  Result: same as the bde1bd6 in-memory frozenset version —
  Telepathy E4 cited alongside Videoconferencing E1/E2,
  POINTER-LINKED-PARTIAL 6/10. The DB-backed lookup reproduces
  the frozenset behavior byte-for-byte.

Tests: 633 passed (was 624). 9 new concept tests covering
DB-backed synonym/rivalry lookup, shards_dir=None degenerate
behavior, brain-tech group seed, cache invalidation. Old tests
that called helpers directly without shards_dir kept as no-op
assertions (synonym_expand({"athlon"}) without shards_dir returns
{"athlon"} unchanged).

Backfill mechanics: existing live shards needed a one-shot
`connect()` to auto-create the new concept_relations table
(SCHEMA_SQL has CREATE TABLE IF NOT EXISTS). Re-derivation never
mutates the Merkle tree — concept_relations is fully orthogonal
to document_root / chunk_root. Cache_key dimensions are
unaffected.

Deferred (follow-on):
- CLI commands: aborist concepts {seed,list,add,derive,purge}
  (currently fox runs the helpers via python -c)
- Wikipedia See-also extractor (requires parsing wikitext sections
  beyond what's already in edges)
- Wikipedia category extractor (requires reading Category: links
  from chunked wikitext)
2026-05-01 21:14:53 -04:00
..
concepts qa(concepts): corpus-derived concept_relations table replaces frozensets 2026-05-01 21:14:53 -04:00
distill storage cheats + TF-IDF retrieval fix 2026-04-27 17:24:51 -04:00
mesh mesh: per-peer audit chain-of-claims tracking on the wire 2026-04-28 19:41:25 -04:00
qa qa(concepts): corpus-derived concept_relations table replaces frozensets 2026-05-01 21:14:53 -04:00
search qa: strip 'all/there/know/everything' from retrieval queries; bench gains deflection rate 2026-04-30 20:15:25 -04:00
sources qa: self-reference thought chains — STRICT-as-fact substrate 2026-05-01 10:16:47 -04:00
__init__.py phase 0 explore: aborist core + sources + distill + evict 2026-04-27 07:53:18 -04:00
cli.py qa(verify): Rule 8 — title-relevance promoted to hard verifier check 2026-05-01 20:59:14 -04:00
compress.py storage cheats + TF-IDF retrieval fix 2026-04-27 17:24:51 -04:00
document.py phase 0 explore: aborist core + sources + distill + evict 2026-04-27 07:53:18 -04:00
evict.py storage cheats + TF-IDF retrieval fix 2026-04-27 17:24:51 -04:00
ingest.py storage cheats + TF-IDF retrieval fix 2026-04-27 17:24:51 -04:00
merkle.py phase 0 explore: aborist core + sources + distill + evict 2026-04-27 07:53:18 -04:00
progress.py progress reporter + structured benchmark 2026-04-27 11:37:20 -04:00
snapshot.py add corpus-level snapshots: single-hash identity for the forest 2026-04-27 21:29:10 -04:00
source.py phase 0 explore: aborist core + sources + distill + evict 2026-04-27 07:53:18 -04:00
store.py qa(concepts): corpus-derived concept_relations table replaces frozensets 2026-05-01 21:14:53 -04:00
wikitext.py verify: strip wikitext from context before substring matching 2026-04-28 15:48:07 -04:00