Task 11 of Phase 1 Bank Reconciliation. Adds the brain that ranks
candidate journal-item matches for a bank statement line.
Pass 1 — SQL filter (done by caller's _fetch_candidates).
Pass 2 — Statistical scoring: weighted blend of amount-delta,
partner pattern fit, and precedent similarity.
Pass 3 — Optional AI re-rank when an LLM provider is configured;
gracefully no-ops when provider missing, prompt module not
yet present (Task 20), or the JSON response is malformed.
Pass 4 — Persistence (handled by engine.suggest_matches).
Returns top-K ScoredCandidate dataclasses with per-feature scores
exposed for transparency and future learning.
7 new tests added; full module suite green (51 tests, 0 failures).
Made-with: Cursor
Adds the foundation for AI confidence scoring:
- fusion.reconcile.pattern: per-(company, partner) aggregate profile
(volume, cadence, preferred matching strategy, memo signature,
write-off habits) — recomputed nightly from precedents.
- fusion.reconcile.precedent: per-historical-decision memory holding
full feature vector + outcome, used by precedent_lookup for KNN
scoring of new bank lines.
Includes ACL rows for fusion accounting user (read) and admin (CRUD)
groups. Manifest bumped to 19.0.1.0.1.
Note: switched the pattern uniqueness rule from the deprecated
_sql_constraints attribute to models.Constraint (Odoo 19 native API)
so the unique(company_id, partner_id) is actually enforced at the
PG level — _sql_constraints is silently ignored in 19.
Made-with: Cursor
Scaffold the fusion_accounting_bank_rec sub-module with directory
tree, manifest, empty package __init__ files, empty ACL CSV, icon,
and Enterprise reference snapshots. No models, controllers, or
business logic yet — installs cleanly on V19 westin-v19 dev DB.
Made-with: Cursor
