addToIndex builds a fieldsMap from the extracted {field,value} entries, but
only __words__ accumulated — every other repeated field did fieldsMap[field]=value,
so a multi-valued field (tags:['a','b','c'] → three 'tags' entries from
extractIndexableFields) collapsed to last-value-wins. columnStore.addEntity
expands an array to one indexed entry per element, but it only ever received the
final scalar, so `contains` matched only the last element and missed the rest.
Accumulate any repeated non-__words__ field into an array before addEntity
(promote scalar→array on the second occurrence). __words__ keeps its always-array
special-case so its multiValue manifest flag stays set even for single-word docs.
find-unified-integration.test.ts → 0 failures (was 4):
- 'array contains' (A.4): now queries first/middle/last element — all match
(previously only the last-indexed element did).
- 'complete find workflow': $contains→contains (8.0 operator) AND fixed the test
premise — find() hard-ANDs vector∩graph∩metadata, and connected:{from:X} returns
X's NEIGHBOURS not X, so the graph anchor must be 'earth' (which the ML concept
relates to), not the concept itself. Multi-signal scores are reciprocal-rank
fusion (~1/61), not [0,1] cosine, so assert a positive fusion score, not >0.5.
- 'nonsense vector query': cosine search always returns nearest neighbours, so
assert the structural array/bound contract, not length===0 (a Tier-2 concern).
- 'hard-ANDs signals': a nonexistent connected.from is an empty graph signal that
zeros the intersection — assert length===0 (documented AND semantics), was >0.
1469 unit + full find-unified integration green.
David Snelling
eccf42000b