changes

fusion_accounting/services/scoring.py

@@ -0,0 +1,61 @@
+import logging
+
+from odoo import models, api
+
+_logger = logging.getLogger(__name__)
+
+
+class FusionAccountingScoring(models.AbstractModel):
+    _name = 'fusion.accounting.scoring'
+    _description = 'Fusion Accounting Confidence Scoring'
+
+    def calculate_confidence(self, tool_name, scenario_key=None):
+        domain = [('tool_name', '=', tool_name)]
+        if scenario_key:
+            domain.append(('tool_params', 'ilike', scenario_key))
+        history = self.env['fusion.accounting.match.history'].search(domain)
+        if not history:
+            return 0.0
+        decided = history.filtered(lambda h: h.decision in ('approved', 'rejected'))
+        if not decided:
+            return 0.0
+        approved = len(decided.filtered(lambda h: h.decision == 'approved'))
+        return approved / len(decided)
+
+    def check_promotions(self):
+        ICP = self.env['ir.config_parameter'].sudo()
+        threshold = float(ICP.get_param('fusion_accounting.tier3_threshold', '0.95'))
+        min_sample = int(ICP.get_param('fusion_accounting.tier3_min_sample', '30'))
+
+        rules = self.env['fusion.accounting.rule'].search([
+            ('active', '=', True),
+            ('approval_tier', '=', 'needs_approval'),
+        ])
+        promoted = self.env['fusion.accounting.rule']
+        for rule in rules:
+            if rule.total_uses >= min_sample and rule.confidence_score >= threshold:
+                rule.approval_tier = 'auto'
+                promoted |= rule
+                _logger.info(
+                    "Promoted rule '%s' to auto (confidence=%.2f, sample=%d)",
+                    rule.name, rule.confidence_score, rule.total_uses,
+                )
+        return promoted
+
+    def get_tool_stats(self, tool_name=None):
+        domain = []
+        if tool_name:
+            domain.append(('tool_name', '=', tool_name))
+        history = self.env['fusion.accounting.match.history'].search(domain)
+
+        stats = {}
+        for h in history:
+            if h.tool_name not in stats:
+                stats[h.tool_name] = {
+                    'total': 0, 'approved': 0, 'rejected': 0,
+                    'pending': 0, 'auto': 0,
+                }
+            stats[h.tool_name]['total'] += 1
+            if h.decision in stats[h.tool_name]:
+                stats[h.tool_name][h.decision] += 1
+        return stats