Add Phase 13 internal accounting model

app/modules/accounting/purchase_review_service.py

@@ -10,6 +10,7 @@ from app.modules.accounting.gstr2b_service import nature_lookup, review_purchase
 from app.modules.accounting.historical_learning_service import active_natures, ledger_mappings
 from app.modules.accounting.purchase_enrichment_models import AccountingPurchaseEnrichmentRecord
 from app.modules.accounting.ai_service import ai_assist_purchase as run_ai_assist_purchase, mark_review_outcome
+from app.modules.accounting.internal_model_service import predict_purchase, record_prediction_review
 
 VALID_STATUSES = {"all", "pending_analysis", "suggested", "review_required", "reviewed"}
 VALID_CONFIDENCE = {"all", "high", "medium", "low"}
@@ -144,6 +145,14 @@ def review_one(db, *, tenant_id, client_id, purchase_id, final_nature_id, final_
         final_ledger_name=reviewed.final_ledger_name,
         user_id=user_id,
     )
+    record_prediction_review(
+        db,
+        tenant_id=tenant_id,
+        source_type="gstr2b",
+        source_record_id=reviewed.id,
+        final_nature_id=reviewed.final_nature_id,
+        user_id=user_id,
+    )
     return reviewed
 
 
@@ -169,6 +178,14 @@ def bulk_confirm(db, *, tenant_id, client_id, purchase_ids, user_id):
             final_ledger_name=reviewed.final_ledger_name,
             user_id=user_id,
         )
+        record_prediction_review(
+            db,
+            tenant_id=tenant_id,
+            source_type="gstr2b",
+            source_record_id=reviewed.id,
+            final_nature_id=reviewed.final_nature_id,
+            user_id=user_id,
+        )
         completed+=1
     return completed
 
@@ -182,3 +199,14 @@ def ai_assist_one(db, *, tenant_id, client_id, purchase_id, user_id):
     if not row:
         raise ValueError("Purchase record was not found.")
     return run_ai_assist_purchase(db, row=row, user_id=user_id)
+
+
+def internal_model_predict_one(db, *, tenant_id, client_id, purchase_id, force_shadow=True):
+    row = db.execute(select(AccountingGSTR2BPurchase).where(
+        AccountingGSTR2BPurchase.id == int(purchase_id),
+        AccountingGSTR2BPurchase.tenant_id == int(tenant_id),
+        AccountingGSTR2BPurchase.client_id == int(client_id),
+    )).scalar_one_or_none()
+    if not row:
+        raise ValueError("Purchase record was not found.")
+    return predict_purchase(db, row=row, force_shadow=force_shadow)