added unmatched transactions

app/main.py

@@ -732,6 +732,19 @@ async def match_specific_receipts(request: MatchSpecificRequest, db: db_dependen
             filtered_results = [r for r in matching_results if r.confidence_score >= CONFIDENCE_THRESHOLD]
             logger.info(f"After filtering by {CONFIDENCE_THRESHOLD*100}% threshold: {len(filtered_results)} matches remain")
 
+            # Track matched transaction IDs
+            matched_transaction_ids = set()
+            for result in filtered_results:
+                if result.transaction:
+                    matched_transaction_ids.add(result.transaction.id)
+
+            # Find unmatched transactions
+            unmatched_transactions = [
+                txn for txn in transactions 
+                if txn.id not in matched_transaction_ids
+            ]
+            logger.info(f"Found {len(unmatched_transactions)} unmatched transactions")
+
             # Convert matching results to response format
             match_responses = []
             for result in filtered_results:
@@ -811,6 +824,40 @@ async def match_specific_receipts(request: MatchSpecificRequest, db: db_dependen
                 )
                 match_responses.append(match_response)
 
+            # Add unmatched transactions as MatchResponse objects with empty receipt data
+            for txn in unmatched_transactions:
+                unmatched_match = MatchResponse(
+                    receipt_id="",
+                    transaction_id=txn.id,
+                    confidence_score=0.0,
+                    match_reason="Unmatched transaction",
+                    receipt_vendor="",
+                    receipt_amount=0.0,
+                    receipt_description="",
+                    receipt_category="",
+                    receipt_tax_amount=0.0,
+                    transaction_vendor=txn.vendor,
+                    transaction_amount=txn.amount,
+                    tax_analysis=None,
+                    flag_for_review=None,
+                    auto_approve=None,
+                    transaction_source=txn.source,
+                    TxnId=txn.TxnId,
+                    AccountType=txn.AccountType,
+                    AccountNumber=txn.AccountNumber,
+                    TransactionDate=txn.TransactionDate,
+                    TransactionType=txn.TransactionType,
+                    ChequeNumber=txn.ChequeNumber,
+                    Description1=txn.Description1,
+                    Description2=txn.Description2,
+                    VendorId=txn.VendorId,
+                    VendorName=txn.VendorName,
+                    AccountId=txn.AccountId,
+                    AccountName=txn.AccountName,
+                    Source=txn.source,
+                )
+                match_responses.append(unmatched_match)
+
             # Calculate statistics on filtered results
             high_confidence = len(
                 [r for r in filtered_results if r.confidence_score >= 0.8]
@@ -827,15 +874,17 @@ async def match_specific_receipts(request: MatchSpecificRequest, db: db_dependen
 
             stats = {
                 "total": len(match_responses),
+                "matched": len(filtered_results),
+                "unmatched_transactions": len(unmatched_transactions),
                 "high_confidence": high_confidence,
                 "low_confidence": low_confidence,
                 "avg_score": round(avg_score, 2),
             }
 
             logger.info(f"Generated stats: {stats}")
-            logger.info(f"Match responses: {match_responses}")
+            logger.info(f"Total responses (matched + unmatched): {len(match_responses)}")
             logger.info(
-                f"Match-specific completed successfully with {len(match_responses)} matches"
+                f"Match-specific completed successfully with {len(filtered_results)} matches and {len(unmatched_transactions)} unmatched transactions"
             )
 
             return MatchingResponse(matches=match_responses, stats=stats)