76 lines
2.5 KiB
Python
76 lines
2.5 KiB
Python
#!/usr/bin/env python3
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import json
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import subprocess
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import sys
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from pathlib import Path
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def main():
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session_file = "/home/wdjones/.openclaw/agents/main/sessions/2c022034-fccc-4c2c-b8f0-dce45ad22e68.jsonl"
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# Read all messages from the session file
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messages = []
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with open(session_file, 'r') as f:
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for line in f:
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data = json.loads(line.strip())
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if data.get('type') == 'message':
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messages.append(data)
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# Extract user-assistant pairs
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pairs = []
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current_user_msg = None
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for msg in messages:
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role = msg.get('message', {}).get('role')
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content = msg.get('message', {}).get('content', [])
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if role == 'user':
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# Extract text content from user message
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user_text = ""
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for item in content:
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if item.get('type') == 'text':
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user_text += item.get('text', '') + "\n"
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current_user_msg = user_text.strip()
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elif role == 'assistant' and current_user_msg:
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# Extract text content from assistant message (skip thinking blocks)
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assistant_text = ""
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for item in content:
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if item.get('type') == 'text':
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assistant_text += item.get('text', '') + "\n"
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if assistant_text.strip():
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pairs.append({
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'user': current_user_msg,
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'assistant': assistant_text.strip()
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})
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current_user_msg = None # Reset for next pair
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# Take the last 10 pairs
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recent_pairs = pairs[-10:]
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print(f"Found {len(pairs)} total pairs, processing last {len(recent_pairs)}")
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# Send each pair to the auto-memory hook
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for pair in recent_pairs:
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payload = {
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"user": pair['user'],
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"assistant": pair['assistant'],
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"agent_id": "case",
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"session": "main"
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}
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try:
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result = subprocess.run([
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'python3', '/home/wdjones/.openclaw/workspace/tools/auto-memory-hook.py'
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], input=json.dumps(payload), text=True, capture_output=True, cwd="/home/wdjones/.openclaw/workspace")
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if result.returncode != 0:
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print(f"Error processing pair: {result.stderr}")
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else:
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print(f"Processed pair successfully")
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except Exception as e:
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print(f"Exception processing pair: {e}")
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if __name__ == "__main__":
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main() |