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run_memory_indexer.py

@@ -0,0 +1,76 @@
+#!/usr/bin/env python3
+import json
+import subprocess
+import sys
+import os
+
+def run_memory_hook(user_msg, assistant_msg, agent_id="case", session="main"):
+    """Run the auto-memory-hook.py script with command-line arguments."""
+    cmd = [
+        "python3",
+        "/home/wdjones/.openclaw/workspace/tools/auto-memory-hook.py",
+        "--user", user_msg,
+        "--assistant", assistant_msg,
+        "--agent-id", agent_id,
+        "--session", session
+    ]
+    
+    try:
+        result = subprocess.run(cmd, capture_output=True, text=True, timeout=30)
+        if result.returncode != 0:
+            print(f"Error running auto-memory-hook: {result.stderr}", file=sys.stderr)
+        return result.returncode == 0
+    except subprocess.TimeoutExpired:
+        print("auto-memory-hook timed out", file=sys.stderr)
+        return False
+    except Exception as e:
+        print(f"Exception running auto-memory-hook: {e}", file=sys.stderr)
+        return False
+
+def main():
+    # Get conversations from the extraction script
+    extract_script = "/home/wdjones/.openclaw/workspace/extract_assistant_turns.py"
+    
+    try:
+        result = subprocess.run(["python3", extract_script], capture_output=True, text=True)
+        if result.returncode != 0:
+            print(f"Error running extraction script: {result.stderr}", file=sys.stderr)
+            return
+        
+        # Parse each line as JSON
+        lines = result.stdout.strip().split('\n')
+        conversations = []
+        
+        for line in lines:
+            if line.strip():
+                try:
+                    conv = json.loads(line)
+                    conversations.append(conv)
+                except json.JSONDecodeError as e:
+                    print(f"Error parsing JSON: {e}", file=sys.stderr)
+                    continue
+        
+        print(f"Processing {len(conversations)} conversations...", file=sys.stderr)
+        
+        # Process each conversation
+        success_count = 0
+        for i, conv in enumerate(conversations):
+            user_msg = conv.get('user', '')
+            assistant_msg = conv.get('assistant', '')
+            agent_id = conv.get('agent_id', 'case')
+            session = conv.get('session', 'main')
+            
+            if user_msg and assistant_msg:
+                if run_memory_hook(user_msg, assistant_msg, agent_id, session):
+                    success_count += 1
+                    print(f"Processed conversation {i+1}/{len(conversations)}", file=sys.stderr)
+                else:
+                    print(f"Failed to process conversation {i+1}/{len(conversations)}", file=sys.stderr)
+        
+        print(f"Successfully processed {success_count}/{len(conversations)} conversations", file=sys.stderr)
+        
+    except Exception as e:
+        print(f"Error in main: {e}", file=sys.stderr)
+
+if __name__ == "__main__":
+    main()