Update SPM/mcp_output/mcp_plugin/mcp_service.py

SPM/mcp_output/mcp_plugin/mcp_service.py

@@ -24,13 +24,36 @@ def sequence_pattern_matching(input_sequence: str, target_sequence: str) -> dict
         dict: A dictionary containing success, result, or error fields.
     """
     try:
-        from scripts.SequencePatternMatching import SequencePatternMatching
-
-        # Initialize the sequence pattern matching module
-        spm = SequencePatternMatching()
-
-        # Perform the matching operation
-        result = spm.match(input_sequence, target_sequence)
+        from scripts.SequencePatternMatching import volumeScoring, volume
+        
+        import numpy as np
+        
+        # Convert sequences to volume arrays
+        query_seq_volume = np.array([volume[i] for i in input_sequence])
+        
+        # Calculate the best match score and position
+        query_len = len(query_seq_volume)
+        db_seq_volume = np.array([volume[i] for i in target_sequence])
+        
+        best_score = 9999
+        best_position = 0
+        
+        for i in range(len(db_seq_volume) - query_len + 1):
+            score = np.sum(np.abs(db_seq_volume[i:i+query_len] - query_seq_volume))
+            if score < best_score:
+                best_score = score
+                best_position = i
+        
+        # Create result
+        result = {
+            "input_sequence": input_sequence,
+            "target_sequence": target_sequence[:100] + "..." if len(target_sequence) > 100 else target_sequence,
+            "best_score": float(best_score),
+            "best_position": int(best_position),
+            "matched_region": target_sequence[best_position:best_position + query_len],
+            "query_length": query_len,
+            "target_length": len(target_sequence)
+        }
 
         return {"success": True, "result": result, "error": None}
     except Exception as e: