feat: Implement deterministic expense matching using configurable providers and keywords, integrating it into the processing pipeline.

verify_matcher.py

@@ -0,0 +1,36 @@
+"""
+Verification script for matching logic.
+"""
+import sys
+import os
+
+# Add project root to path
+sys.path.append(os.path.dirname(os.path.abspath(__file__)))
+
+from app.preprocessing.matcher import get_metadata_from_match
+
+def test_match(description: str):
+    print(f"\nTesting: '{description}'")
+    metadata = get_metadata_from_match(description)
+    if metadata:
+        print(f"  Match Found!")
+        print(f"  Type: {metadata.get('match_type')}")
+        print(f"  Name: {metadata.get('matched_name')}")
+        print(f"  Category: {metadata.get('category')}")
+        print(f"  Subcategory: {metadata.get('subcategory')}")
+        print(f"  Expense Type: {metadata.get('expense_type')}")
+    else:
+        print("  No match found.")
+
+if __name__ == "__main__":
+    # Test providers
+    test_match("Lunch at Amazon")
+    test_match("Uber Eats dinner")
+    test_match("Office Depot supplies")
+    
+    # Test keywords
+    test_match("New monitor for work")
+    test_match("Croquetas for the dog")
+    
+    # Test no match
+    test_match("Random expense")