feat(fusion_accounting_bank_rec): precedent_lookup K-nearest search

Made-with: Cursor

fusion_accounting_bank_rec/tests/__init__.py

@@ -2,3 +2,4 @@ from . import test_memo_tokenizer
 from . import test_exchange_diff
 from . import test_matching_strategies
 from . import test_ai_suggestion_lifecycle
+from . import test_precedent_lookup

fusion_accounting_bank_rec/tests/test_precedent_lookup.py

@@ -0,0 +1,73 @@
+from datetime import date
+from odoo.tests.common import TransactionCase, tagged
+from odoo.addons.fusion_accounting_bank_rec.services.precedent_lookup import (
+    find_nearest_precedents, PrecedentMatch,
+)
+
+
+@tagged('post_install', '-at_install')
+class TestPrecedentLookup(TransactionCase):
+
+    def setUp(self):
+        super().setUp()
+        self.partner = self.env['res.partner'].create({'name': 'Precedent Lookup Partner'})
+        self.currency = self.env.ref('base.CAD')
+        self.company = self.env.company
+        for amt in [1847.50, 1847.50, 1800.00]:
+            self.env['fusion.reconcile.precedent'].create({
+                'company_id': self.company.id,
+                'partner_id': self.partner.id,
+                'amount': amt,
+                'currency_id': self.currency.id,
+                'date': date.today(),
+                'memo_tokens': 'RBC,ETF,REF',
+                'matched_move_line_count': 1,
+                'source': 'manual',
+            })
+
+    def test_finds_amount_exact_precedents(self):
+        results = find_nearest_precedents(
+            self.env, partner_id=self.partner.id, amount=1847.50, k=5)
+        amounts = [r.amount for r in results]
+        self.assertEqual(amounts.count(1847.50), 2)
+
+    def test_returns_empty_for_unknown_partner(self):
+        results = find_nearest_precedents(
+            self.env, partner_id=999999, amount=1847.50, k=5)
+        self.assertEqual(results, [])
+
+    def test_respects_k_limit(self):
+        for i in range(10):
+            self.env['fusion.reconcile.precedent'].create({
+                'company_id': self.company.id,
+                'partner_id': self.partner.id,
+                'amount': 1847.50,
+                'currency_id': self.currency.id,
+                'date': date.today(),
+                'matched_move_line_count': 1,
+                'source': 'manual',
+            })
+        results = find_nearest_precedents(
+            self.env, partner_id=self.partner.id, amount=1847.50, k=3)
+        self.assertEqual(len(results), 3)
+
+    def test_results_sorted_by_similarity_desc(self):
+        results = find_nearest_precedents(
+            self.env, partner_id=self.partner.id, amount=1847.50, k=5)
+        if len(results) >= 2:
+            self.assertGreaterEqual(results[0].similarity_score, results[1].similarity_score)
+
+    def test_memo_overlap_boosts_score(self):
+        results_with_memo = find_nearest_precedents(
+            self.env, partner_id=self.partner.id, amount=1847.50, k=5,
+            memo_tokens=['RBC', 'ETF', 'REF'])
+        results_no_memo = find_nearest_precedents(
+            self.env, partner_id=self.partner.id, amount=1847.50, k=5)
+        if results_with_memo and results_no_memo:
+            self.assertGreaterEqual(results_with_memo[0].similarity_score,
+                                     results_no_memo[0].similarity_score - 0.001)
+
+    def test_amount_outside_tolerance_excluded(self):
+        results = find_nearest_precedents(
+            self.env, partner_id=self.partner.id, amount=2000.00, k=5)
+        self.assertEqual(results, [])